Latent space simulators
This page was last updated on 2024-07-17 08:46:07 UTC
Manually curated articles on Latent space simulators
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index | View recommendations |
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visibility_off | Molecular latent space simulators | Hythem Sidky, Wei Chen, Andrew L. Ferguson | 2020-07-01 | Chemical Science | 31 | 35 | open_in_new |
visibility_off | Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator. | Qianxiao Li, Felix Dietrich, E. Bollt, I. Kevrekidis | 2017-07-02 | Chaos | 336 | 76 | open_in_new |
visibility_off | Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics | C. Wehmeyer, F. Noé | 2017-10-30 | The Journal of chemical physics, Journal of Chemical Physics | 334 | 61 | open_in_new |
visibility_off | VAMPnets for deep learning of molecular kinetics | Andreas Mardt, Luca Pasquali, Hao Wu, F. Noé | 2017-10-16 | Nature Communications | 463 | 61 | open_in_new |
visibility_off | Nonlinear Discovery of Slow Molecular Modes using Hierarchical Dynamics Encoders | Wei Chen, Hythem Sidky, Andrew L. Ferguson | 2019-02-09 | The Journal of chemical physics, Journal of Chemical Physics | 77 | 35 | open_in_new |
visibility_off | Variational Approach for Learning Markov Processes from Time Series Data | Hao Wu, Frank No'e | 2017-07-14 | Journal of Nonlinear Science | 211 | 23 | open_in_new |
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index | View recommendations |
Recommended articles on Latent space simulators
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |
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visibility_off | From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach | Timothée Devergne, Vladimir Kostic, Michele Parrinello, Massimiliano Pontil | 2024-06-13 | ArXiv | 0 | 1 |
visibility_off | Information Bottleneck Approach for Markov Model Construction. | Dedi Wang, Yunrui Qiu, E. Beyerle, Xuhui Huang, P. Tiwary | 2024-06-10 | Journal of chemical theory and computation | 0 | 30 |
visibility_off | Augmenting Human Expertise in Weighted Ensemble Simulations through Deep Learning based Information Bottleneck | Dedi Wang, P. Tiwary | 2024-06-21 | ArXiv | 0 | 30 |
visibility_off | DeepLNE++ leveraging knowledge distillation for accelerated multi-state path-like collective variables | Thorben Frohlking, Valerio Rizzi, Simone Aureli, F. L. Gervasio | 2024-07-05 | ArXiv | 0 | 4 |
visibility_off | Coarse-graining conformational dynamics with multi-dimensional generalized Langevin equation: how, when, and why | Pinchen Xie, Yunrui Qiu, E. Weinan | 2024-05-20 | ArXiv | 0 | 1 |
visibility_off | Learning data efficient coarse-grained molecular dynamics from forces and noise | Aleksander E. P. Durumeric, Yaoyi Chen, Frank No'e, Cecilia Clementi | 2024-07-01 | ArXiv | 0 | 10 |
visibility_off | Data-Driven Linearization of Dynamical Systems | George Haller, B. Kasz'as | 2024-07-11 | ArXiv | 0 | 0 |
visibility_off | Sparsifying dimensionality reduction of PDE solution data with Bregman learning | T. J. Heeringa, Christoph Brune, Mengwu Guo | 2024-06-18 | ArXiv | 0 | 1 |
visibility_off | Learning the Infinitesimal Generator of Stochastic Diffusion Processes | Vladimir Kostic, Karim Lounici, Helene Halconruy, Timothée Devergne, M. Pontil | 2024-05-21 | ArXiv | 1 | 70 |
visibility_off | Limits and Powers of Koopman Learning | Matthew J. Colbrook, Igor Mezi'c, Alexei Stepanenko | 2024-07-08 | ArXiv | 0 | 16 |
visibility_off | From high-dimensional committors to reactive insights | Nils E. Strand, Schuyler B. Nicholson, Hadrien Vroylandt, Todd R. Gingrich | 2024-06-03 | ArXiv | 0 | 17 |
visibility_off | Implementation of Girsanov Reweighting in OpenMM and Deeptime | Joana-Lysiane Schäfer, Bettina G Keller | 2024-06-12 | The Journal of Physical Chemistry. B | 0 | 0 |
visibility_off | Accurate nuclear quantum statistics on machine-learned classical effective potentials | I. Zaporozhets, Felix Musil, V. Kapil, Cecilia Clementi | 2024-07-03 | ArXiv | 0 | 15 |
visibility_off | VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification | Paolo Conti, Jonas Kneifl, Andrea Manzoni, A. Frangi, Jörg Fehr, S. Brunton, J. Kutz | 2024-05-31 | ArXiv | 0 | 63 |
visibility_off | Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning | Chia-en A. Chang, T. Ruzmetov, Ta I Hung, Saisri Padmaja Jonnalagedda, Si-han Chen, Parisa Fasihianifard, Zhefeng Guo, B. Bhanu | 2024-06-28 | Research Square | 0 | 58 |
visibility_off | Principal Component Flow Map Learning of PDEs from Incomplete, Limited, and Noisy Data | Victor Churchill | 2024-07-15 | ArXiv | 0 | 0 |
visibility_off | Kinetics-Optimized Enhanced Sampling Using Mean First Passage Times | Tiejun Wei, B. Dudas, E. Rosta | 2024-06-13 | ArXiv | 0 | 36 |
visibility_off | Recurrent Deep Kernel Learning of Dynamical Systems | N. Botteghi, Paolo Motta, Andrea Manzoni, P. Zunino, Mengwu Guo | 2024-05-30 | ArXiv | 0 | 6 |
visibility_off | Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems | Katiana Kontolati, S. Goswami, G. Em Karniadakis, Michael D Shields | 2024-06-14 | Nature Communications | 0 | 19 |
visibility_off | Coarse Grained Molecular Dynamics with Normalizing Flows | Samuel Tamagnone, Alessandro Laio, Marylou Gabri'e | 2024-06-03 | ArXiv | 1 | 1 |
visibility_off | Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation | Zhiqiang Cai, Yu Cao, Yuanfei Huang, Xiang Zhou | 2024-05-29 | ArXiv | 0 | 1 |
visibility_off | Predicting Future Kinetic States of Physicochemical Systems Using Generative Pre-trained Transformer | Palash Bera, Jagannath Mondal | 2024-06-19 | bioRxiv | 0 | 4 |
visibility_off | Thermodynamically Informed Multimodal Learning of High-Dimensional Free Energy Models in Molecular Coarse Graining | Blake R. Duschatko, Xiang Fu, Cameron Owen, Yu Xie, Albert Musaelian, T. Jaakkola, Boris Kozinsky | 2024-05-29 | ArXiv | 2 | 97 |
visibility_off | Towards latent space evolution of spatiotemporal dynamics of six-dimensional phase space of charged particle beams | M. Rautela, Alan Williams, A. Scheinker | 2024-06-03 | ArXiv | 0 | 20 |
visibility_off | Nonlinear denoising score matching for enhanced learning of structured distributions | Jeremiah Birrell, M. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu | 2024-05-24 | ArXiv | 0 | 31 |
visibility_off | Model Predictive Control of the Neural Manifold | Christof Fehrman, C. D. Meliza | 2024-06-21 | ArXiv | 0 | 6 |
visibility_off | Physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics | Simone Brugiapaglia, N. Dexter, Samir Karam, Weiqi Wang | 2024-06-03 | ArXiv | 1 | 9 |
visibility_off | Transferable Boltzmann Generators | Leon Klein, Frank No'e | 2024-06-20 | ArXiv | 0 | 2 |
visibility_off | Learning dynamical systems from data: An introduction to physics-guided deep learning | Rose Yu, Rui Wang | 2024-06-24 | Proceedings of the National Academy of Sciences of the United States of America | 1 | 1 |
visibility_off | On instabilities in neural network-based physics simulators | Daniel Floryan | 2024-06-18 | ArXiv | 0 | 0 |
visibility_off | A generative machine learning surrogate model of plasma turbulence | B. Clavier, D. Zarzoso, D. del-Castillo-Negrete, E. Frenord | 2024-05-21 | ArXiv | 0 | 0 |
visibility_off | WgLaSDI: Weak-Form Greedy Latent Space Dynamics Identification | Xiaolong He, April Tran, David M. Bortz, Youngsoo Choi | 2024-06-29 | ArXiv | 0 | 3 |
visibility_off | Identification of Recurrent Dynamics in Distributed Neural Populations | R. Osuna-Orozco, Edward Castillo, K. Harris, Samantha R. Santacruz | 2024-06-01 | bioRxiv | 0 | 15 |
visibility_off | Identifying latent state transition in non-linear dynamical systems | cCauglar Hizli, cCaugatay Yildiz, Matthias Bethge, ST John, Pekka Marttinen | 2024-06-05 | ArXiv | 0 | 2 |
visibility_off | What's the score? Automated Denoising Score Matching for Nonlinear Diffusions | Raghav Singhal, Mark Goldstein, Rajesh Ranganath | 2024-07-10 | ArXiv | 0 | 7 |
visibility_off | Cascade of phase transitions in the training of Energy-based models | Dimitrios Bachtis, Giulio Biroli, A. Decelle, Beatriz Seoane | 2024-05-23 | ArXiv | 2 | 14 |
visibility_off | Stable tensor neural networks for efficient deep learning | Elizabeth Newman, L. Horesh, H. Avron, M. Kilmer | 2024-05-30 | Frontiers in Big Data | 1 | 34 |
visibility_off | An Empirical Investigation on Variational Autoencoder-Based Dynamic Modeling of Deformable Objects from RGB Data | Tomás Coleman, R. Babuška, Jens Kober, C. D. Santina | 2024-06-11 | 2024 32nd Mediterranean Conference on Control and Automation (MED) | 0 | 20 |
visibility_off | Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules | Trevor Norton, Debswapna Bhattacharya | 2024-05-31 | ArXiv | 0 | 15 |
visibility_off | Nuclear Norm Regularization for Deep Learning | Christopher Scarvelis, Justin Solomon | 2024-05-23 | ArXiv | 0 | 3 |
visibility_off | Fast, accurate training and sampling of Restricted Boltzmann Machines | Nicolas B'ereux, A. Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane | 2024-05-24 | ArXiv | 0 | 14 |
visibility_off | Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models | Ella Tamir, Arno Solin | 2024-06-01 | ArXiv | 0 | 2 |
visibility_off | Delay Embedding Theory of Neural Sequence Models | Mitchell Ostrow, Adam J. Eisen, I. Fiete | 2024-06-17 | ArXiv | 0 | 30 |
visibility_off | Collective Variable Free Transition Path Sampling with Generative Flow Network | Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn | 2024-05-30 | ArXiv | 0 | 3 |
visibility_off | Deep Koopman Learning using the Noisy Data | Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou | 2024-05-26 | ArXiv | 0 | 3 |
visibility_off | Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models | G. A. Padmanabha, J. Fuhg, C. Safta, Reese E. Jones, N. Bouklas | 2024-06-30 | ArXiv | 0 | 18 |
visibility_off | Latent Diffusion for Neural Spiking Data | J. Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, J. H. Macke | 2024-06-27 | ArXiv | 0 | 2 |
visibility_off | Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids | Saurabh Deshpande, Hussein Rappel, Mark Hobbs, Stéphane P. A. Bordas, Jakub Lengiewicz | 2024-07-15 | ArXiv | 0 | 4 |
visibility_off | Iterative Sparse Identification of Nonlinear Dynamics | Jinho Choi | 2024-06-06 | ArXiv | 0 | 0 |
visibility_off | Variational time reversal for free energy estimation in nonequilibrium steady states | Jorge L. Rosa-Ra'ices, David T. Limmer | 2024-06-03 | ArXiv | 0 | 32 |
visibility_off | Inferring stochastic low-rank recurrent neural networks from neural data | Matthijs Pals, A. E. Saugtekin, Felix Pei, Manuel Gloeckler, J. H. Macke | 2024-06-24 | ArXiv | 0 | 3 |
visibility_off | Nonlinear time-series embedding by monotone variational inequality | Jonathan Y. Zhou, Yao Xie | 2024-06-11 | ArXiv | 0 | 0 |
visibility_off | Refining Potential Energy Surface through Dynamical Properties via Differentiable Molecular Simulation | Bin Han, Kuang Yu | 2024-06-26 | ArXiv | 0 | 0 |
visibility_off | Computing Nonequilibrium Responses with Score-shifted Stochastic Differential Equations | J'er'emie Klinger, Grant M. Rotskoff | 2024-06-20 | ArXiv | 0 | 24 |
visibility_off | Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics | William Qian, Jacob A. Zavatone-Veth, Benjamin S. Ruben, C. Pehlevan | 2024-05-26 | bioRxiv | 0 | 24 |
visibility_off | Computing the committor with the committor to study the transition state ensemble | Peilin Kang, Enrico Trizio, Michele Parrinello | 2024-06-05 | Nature computational science | 0 | 4 |
visibility_off | Paired Autoencoders for Inverse Problems | Matthias Chung, Emma Hart, Julianne Chung, B. Peters, Eldad Haber | 2024-05-21 | ArXiv | 0 | 13 |
visibility_off | An improved penalty-based excited-state variational Monte Carlo approach with deep-learning ansatzes | P. B. Szab'o, Zeno Schatzle, Mike T. Entwistle, Frank No'e | 2024-05-27 | ArXiv | 1 | 2 |
visibility_off | Dynamical Measure Transport and Neural PDE Solvers for Sampling | Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Muller, K. Azizzadenesheli, A. Anandkumar | 2024-07-10 | ArXiv | 0 | 31 |
visibility_off | Dynamical mixture modeling with fast, automatic determination of Markov chains | Christopher E Miles, Robert J. Webber | 2024-06-07 | ArXiv | 0 | 8 |
visibility_off | Machine learning in biological physics: From biomolecular prediction to design | Jonathan Martin, Marcos Lequerica Mateos, J. Onuchic, Ivan Coluzza, F. Morcos | 2024-06-24 | Proceedings of the National Academy of Sciences of the United States of America | 1 | 95 |
visibility_off | Latent Functional Maps | Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà | 2024-06-20 | ArXiv | 0 | 7 |
visibility_off | How more data can hurt: Instability and regularization in next-generation reservoir computing | Yuanzhao Zhang, Sean P. Cornelius | 2024-07-11 | ArXiv | 0 | 1 |
visibility_off | Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks | Emily Shinkle, Aleksandra Pachalieva, Riti Bahl, Sakib Matin, Brendan Gifford, G. Craven, Nicholas Lubbers | 2024-06-17 | ArXiv | 0 | 15 |
visibility_off | Alternators For Sequence Modeling | Mohammad Reza Rezaei, Adji B. Dieng | 2024-05-20 | ArXiv | 0 | 13 |
visibility_off | MPSDynamics.jl: Tensor network simulations for finite-temperature (non-Markovian) open quantum system dynamics | Thibaut Lacroix, Brieuc Le D'e, Angela Riva, A. Dunnett, Alex W Chin | 2024-06-11 | ArXiv | 1 | 5 |
visibility_off | Learning glass transition temperatures via dimensionality reduction with data from computer simulations: Polymers as the pilot case | Artem Glova, Mikko Karttunen | 2024-06-28 | ArXiv | 0 | 0 |
visibility_off | Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation | Can Yaras, Peng Wang, Laura Balzano, Qing Qu | 2024-06-06 | ArXiv | 0 | 4 |
visibility_off | The surprising efficiency of temporal difference learning for rare event prediction | Xiaoou Cheng, Jonathan Weare | 2024-05-27 | ArXiv | 0 | 1 |
visibility_off | Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach | Reza Arabpour, John Armstrong, Luca Galimberti, Anastasis Kratsios, Giulia Livieri | 2024-05-30 | ArXiv | 0 | 6 |
visibility_off | Bridging Operator Learning and Conditioned Neural Fields: A Unifying Perspective | Sifan Wang, Jacob H. Seidman, Shyam Sankaran, Hanwen Wang, George J. Pappas, P. Perdikaris | 2024-05-22 | ArXiv | 1 | 43 |
visibility_off | Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models | Bálint Máté, Franccois Fleuret, Tristan Bereau | 2024-06-04 | ArXiv | 0 | 11 |
visibility_off | Machine Learning Conservation Laws of Dynamical systems | Meskerem Abebaw Mebratie, Rudiger Nather, Guido Falk von Rudorff, Werner M. Seiler | 2024-05-31 | ArXiv | 0 | 5 |
visibility_off | Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation | Yifei Zong, D. Barajas-Solano, A. Tartakovsky | 2024-07-05 | ArXiv | 0 | 41 |
visibility_off | Diffusion Spectral Representation for Reinforcement Learning | Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai | 2024-06-23 | ArXiv | 0 | 0 |
visibility_off | Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process | Weihan Li, Yule Wang, Chengrui Li, Anqi Wu | 2024-06-29 | ArXiv | 0 | 1 |
visibility_off | Accelerated Inference for Partially Observed Markov Processes using Automatic Differentiation | Kevin Tan, Giles Hooker, E. Ionides | 2024-07-03 | ArXiv | 0 | 29 |
visibility_off | An Efficient Approach to Regression Problems with Tensor Neural Networks | Yongxin Li | 2024-06-14 | ArXiv | 0 | 0 |
visibility_off | Minimum Reduced-Order Models via Causal Inference | Nan Chen, Honghu Liu | 2024-06-29 | ArXiv | 0 | 0 |
visibility_off | Stochastic Reservoir Computers | Peter J. Ehlers, H. Nurdin, Daniel Soh | 2024-05-20 | ArXiv | 0 | 22 |
visibility_off | Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation | Madison Cooley, Shandian Zhe, R. Kirby, Varun Shankar | 2024-06-04 | ArXiv | 0 | 19 |
visibility_off | Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing | Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert | 2024-05-23 | ArXiv | 1 | 9 |
visibility_off | Adaptive RKHS Fourier Features for Compositional Gaussian Process Models | Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A. 'Alvarez | 2024-07-01 | ArXiv | 0 | 1 |
visibility_off | Linearization Turns Neural Operators into Function-Valued Gaussian Processes | Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig | 2024-06-07 | ArXiv | 0 | 3 |
visibility_off | Symplectic Methods in Deep Learning | S. Maslovskaya, S. Ober-Blöbaum | 2024-06-06 | ArXiv | 0 | 22 |
visibility_off | Fast and Tuning-free Nonlinear Data Embedding and Integration based on DCOL | Shengjie Liu, Tianwei Yu | 2024-06-09 | bioRxiv | 0 | 1 |
visibility_off | High Rank Path Development: an approach of learning the filtration of stochastic processes | Jiajie Tao, Hao Ni, Chong Liu | 2024-05-23 | ArXiv | 0 | 1 |
visibility_off | Stochastic Gradient Descent for Two-layer Neural Networks | Dinghao Cao, Zheng-Chu Guo, Lei Shi | 2024-07-10 | ArXiv | 0 | 0 |
visibility_off | Deep Learning for Computing Convergence Rates of Markov Chains | Yanlin Qu, Jose Blanchet, Peter Glynn | 2024-05-30 | ArXiv | 0 | 3 |
visibility_off | Space-Time Continuous PDE Forecasting using Equivariant Neural Fields | David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, J. Sonke, E. Gavves, E. J. Bekkers | 2024-06-10 | ArXiv | 1 | 56 |
visibility_off | Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks | Yizheng Wang, Jia Sun, Jinshuai Bai, C. Anitescu, M. Eshaghi, X. Zhuang, T. Rabczuk, Yinghua Liu | 2024-06-16 | ArXiv | 4 | 69 |
visibility_off | Kinetics of orbital ordering in cooperative Jahn-Teller models: Machine-learning enabled large-scale simulations | Supriyo Ghosh, Sheng Zhang, Chen Cheng, G. Chern | 2024-05-23 | ArXiv | 0 | 30 |
visibility_off | Tree-like process tensor contraction for automated compression of environments | M. Cygorek, B. Lovett, Jonathan Keeling, E. Gauger | 2024-05-26 | ArXiv | 1 | 30 |
visibility_off | Accurate Conformation Sampling via Protein Structural Diffusion | Jiahao Fan, Ziyao Li, Eric Alcaide, Guolin Ke, Huaqing Huang, E. Weinan | 2024-05-21 | bioRxiv | 0 | 4 |
visibility_off | Exciting DeePMD: Learning excited state energies, forces, and non-adiabatic couplings | Lucien Dupuy, N. Maitra | 2024-07-15 | ArXiv | 0 | 32 |
visibility_off | Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators | Anran Jiao, Qile Yan, Jhn Harlim, Lu Lu | 2024-07-07 | ArXiv | 0 | 2 |
visibility_off | Complex harmonics reveal low-dimensional manifolds of critical brain dynamics | G. Deco, Y. Perl, M. Kringelbach | 2024-06-16 | bioRxiv | 0 | 13 |
visibility_off | Sampling metastable systems using collective variables and Jarzynski-Crooks paths | Christoph Schonle, Marylou Gabri'e, T. Lelièvre, Gabriel Stoltz | 2024-05-28 | ArXiv | 1 | 3 |
visibility_off | Predicting solvation free energies with an implicit solvent machine learning potential | Sebastien Rocken, A. F. Burnet, J. Zavadlav | 2024-05-31 | ArXiv | 0 | 15 |
visibility_off | Understanding the dynamics of the frequency bias in neural networks | Juan Molina, Mircea Petrache, F. S. Costabal, Mat'ias Courdurier | 2024-05-23 | ArXiv | 0 | 12 |
visibility_off | Neural networks in non-metric spaces | Luca Galimberti | 2024-06-13 | ArXiv | 0 | 0 |
visibility_off | Data-efficient fine-tuning of foundational models for first-principles quality sublimation enthalpies | Harveen Kaur, Flaviano Della Pia, Ilyes Batatia, Xavier R Advincula, Benjamin X Shi, Jinggang Lan, G'abor Cs'anyi, A. Michaelides, V. Kapil | 2024-05-30 | ArXiv | 0 | 75 |
visibility_off | Invariant multiscale neural networks for data-scarce scientific applications | I. Schurov, D. Alforov, M. Katsnelson, A. Bagrov, A. Itin | 2024-06-12 | ArXiv | 0 | 0 |
visibility_off | A novel discretized physics-informed neural network model applied to the Navier–Stokes equations | Amirhossein Khademi, Steven Dufour | 2024-06-07 | Physica Scripta | 0 | 1 |
visibility_off | Efficient mapping of phase diagrams with conditional normalizing flows | Maximilian Schebek, Michele Invernizzi, Frank No'e, Jutta Rogal | 2024-06-18 | ArXiv | 0 | 2 |
visibility_off | KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics | Benjamin C. Koenig, Suyong Kim, Sili Deng | 2024-07-05 | ArXiv | 0 | 2 |
visibility_off | Solving Poisson Equations using Neural Walk-on-Spheres | Hong Chul Nam, Julius Berner, A. Anandkumar | 2024-06-05 | ArXiv | 2 | 5 |
visibility_off | Flow Map Matching | Nicholas M. Boffi, M. S. Albergo, Eric Vanden-Eijnden | 2024-06-11 | ArXiv | 0 | 16 |
visibility_off | Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders | Josuan Calderon, Gordon J. Berman | 2024-06-05 | ArXiv | 0 | 1 |
visibility_off | DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems | D. Abueidda, Panos Pantidis, M. Mobasher | 2024-05-29 | ArXiv | 7 | 24 |
visibility_off | Towards a theory of learning dynamics in deep state space models | Jakub Sm'ekal, Jimmy T.H. Smith, Michael Kleinman, D. Biderman, Scott W. Linderman | 2024-07-10 | ArXiv | 0 | 26 |
visibility_off | Fundamental limits of weak learnability in high-dimensional multi-index models | Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborov'a, Bruno Loureiro, Florent Krzakala | 2024-05-24 | ArXiv | 0 | 16 |
visibility_off | Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs | Hrishikesh Viswanath, Yue Chang, Julius Berner, Peter Yichen Chen, Aniket Bera | 2024-07-04 | ArXiv | 0 | 28 |
visibility_off | Functional Decomposition and Estimation of Irreversibility in Time Series via Machine Learning | Michele Vodret, Cristiano Pacini, Christian Bongiorno | 2024-07-08 | ArXiv | 0 | 0 |
visibility_off | Learning tensor trains from noisy functions with application to quantum simulation | Kohtaroh Sakaue, H. Shinaoka, Rihito Sakurai | 2024-05-21 | ArXiv | 0 | 21 |
visibility_off | Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias | Honam Wong, Wendao Wu, Fanghui Liu, Yiping Lu | 2024-06-13 | ArXiv | 0 | 0 |
visibility_off | Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics | T. Hy, Thieu Khang, R. Kondor | 2024-06-01 | ArXiv | 0 | 30 |
visibility_off | Poisson Variational Autoencoder | Hadi Vafaii, Dekel Galor, Jacob L. Yates | 2024-05-23 | ArXiv | 0 | 2 |
visibility_off | Temporal label recovery from noisy dynamical data | Y. Khoo, Xin T. Tong, Wanjie Wang, Yuguan Wang | 2024-06-19 | ArXiv | 0 | 15 |
visibility_off | Spectral-Refiner: Fine-Tuning of Accurate Spatiotemporal Neural Operator for Turbulent Flows | Shuhao Cao, Francesco Brarda, Ruipeng Li, Yuanzhe Xi | 2024-05-27 | ArXiv | 0 | 1 |
visibility_off | Message-Relevant Dimension Reduction of Neural Populations | Amanda Merkley, Alice Y. Nam, Y. K. Hong, Pulkit Grover | 2024-07-02 | ArXiv | 0 | 2 |
visibility_off | Policy-guided Monte Carlo on general state spaces: Application to glass-forming mixtures | Leonardo Galliano, Riccardo Rende, Daniele Coslovich | 2024-07-03 | ArXiv | 0 | 0 |
visibility_off | A Multiscale Perspective on Maximum Marginal Likelihood Estimation | O. D. Akyildiz, M. Ottobre, I. Souttar | 2024-06-06 | ArXiv | 2 | 11 |
visibility_off | TrackSegNet: a tool for trajectory segmentation into diffusive states using supervised deep learning | Hélène Kabbech, Ihor Smal | 2024-06-04 | Journal of Open Source Software | 0 | 2 |
visibility_off | WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data | Darian T. Yang, Lillian T. Chong | 2024-05-21 | bioRxiv | 0 | 2 |
visibility_off | Gaussian approximation of dynamic cavity equations for linearly-coupled stochastic dynamics | Mattia Tarabolo, Luca Dall'Asta | 2024-06-20 | ArXiv | 0 | 1 |
visibility_off | Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks | Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, C. Cannistraci | 2024-05-24 | ArXiv | 0 | 33 |
visibility_off | Equivariant score-based generative diffusion framework for 3D molecules | Hao Zhang, Yang Liu, Xiaoyan Liu, Cheng-Xiang Wang, Maozu Guo | 2024-05-30 | BMC Bioinformatics | 0 | 17 |
visibility_off | Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations | K. Polsterer, Bernd Doser, Andreas Fehlner, Sebastian Trujillo-Gomez | 2024-06-06 | ArXiv | 0 | 15 |
visibility_off | Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers | P. Fearnhead, Sebastiano Grazzi, Chris Nemeth, Gareth O. Roberts | 2024-06-27 | ArXiv | 0 | 50 |
visibility_off | Dynamical Reweighting for Biased Rare Event Simulations. | Bettina G Keller, P. Bolhuis | 2024-06-01 | Annual review of physical chemistry | 0 | 53 |
visibility_off | Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers | Federico Bassetti, M. Gherardi, Alessandro Ingrosso, M. Pastore, P. Rotondo | 2024-06-05 | ArXiv | 1 | 14 |
visibility_off | Predicting long-term trends in physical properties from short-term molecular dynamics simulations using long short-term memory | Kota Noda, Yasushi Shibuta | 2024-06-13 | Journal of Physics: Condensed Matter | 0 | 1 |
visibility_off | Modeling Randomly Observed Spatiotemporal Dynamical Systems | V. Iakovlev, Harri Lähdesmäki | 2024-06-01 | ArXiv | 0 | 2 |
visibility_off | Efficient parameterization of transferable Atomic Cluster Expansion for water | Eslam Ibrahim, Yu. Lysogorskiy, R. Drautz | 2024-06-20 | ArXiv | 0 | 39 |
visibility_off | Probing the effects of broken symmetries in machine learning | Marcel F. Langer, S. Pozdnyakov, Michele Ceriotti | 2024-06-25 | ArXiv | 0 | 9 |
visibility_off | Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity in C. elegans | Eva Yezerets, Noga Mudrik, Adam S. Charles | 2024-06-01 | bioRxiv | 1 | 2 |
visibility_off | Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems | Adarsh Iyer, N. Boddupalli, Jeff Moehlis | 2024-06-05 | ArXiv | 0 | 5 |
visibility_off | Disentangled representation learning with physics-informed variational autoencoder for structural health monitoring | Ioannis Koune, Alice Cicirello | 2024-07-01 | e-Journal of Nondestructive Testing | 0 | 1 |
visibility_off | Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport | Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian Weller | 2024-05-26 | ArXiv | 0 | 6 |
visibility_off | BrowNNe: Brownian Nonlocal Neurons&Activation Functions | Sriram Nagaraj, Truman Hickok | 2024-06-21 | ArXiv | 0 | 0 |
visibility_off | An efficient solution to Hidden Markov Models on trees with coupled branches. | Farzan Vafa, S. Hormoz | 2024-06-03 | ArXiv | 0 | 18 |
visibility_off | CoNO: Complex Neural Operator for Continous Dynamical Physical Systems | Karn Tiwari, N. M. A. Krishnan, P. PrathoshA | 2024-06-01 | ArXiv | 0 | 0 |
visibility_off | Dynamical Mean-Field Theory of Self-Attention Neural Networks | 'Angel Poc-L'opez, Miguel Aguilera | 2024-06-11 | ArXiv | 0 | 0 |
visibility_off | Estimating Free-Energy Surfaces and Their Convergence from Multiple, Independent Static and History-Dependent Biased Molecular-Dynamics Simulations with Mean Force Integration | Antoniu Bjola, M. Salvalaglio | 2024-06-24 | Journal of Chemical Theory and Computation | 0 | 25 |
visibility_off | Deep learning of protein energy landscape and conformational dynamics from experimental structures in PDB | Yike Tang, Mendi Yu, Ganggang Bai, Xinjun Li, Yanyan Xu, Buyong Ma | 2024-06-27 | bioRxiv | 0 | 3 |
visibility_off | Exact results on the dynamics of the stochastic Floquet-East model | C. Fazio, J. P. Garrahan, Katja Klobas | 2024-06-25 | ArXiv | 0 | 54 |
visibility_off | Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network | Hyunseok Oh, Youngki Lee | 2024-07-01 | ArXiv | 0 | 3 |
visibility_off | Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning | D. Kunin, Allan Ravent'os, Cl'ementine Domin'e, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli | 2024-06-10 | ArXiv | 1 | 12 |
visibility_off | Nonequilbrium physics of generative diffusion models | Zhendong Yu, Haiping Huang | 2024-05-20 | ArXiv | 0 | 0 |
visibility_off | Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation | Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn | 2024-05-19 | ArXiv | 0 | 1 |
visibility_off | Comparing AI versus Optimization Workflows for Simulation-Based Inference of Spatial-Stochastic Systems | Michael A. Ramirez-Sierra, T. Sokolowski | 2024-07-15 | ArXiv | 0 | 7 |
visibility_off | Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for space-time solutions of semilinear partial differential equations | Julia Ackermann, Arnulf Jentzen, Benno Kuckuck, J. Padgett | 2024-06-16 | ArXiv | 0 | 45 |
visibility_off | AdaFisher: Adaptive Second Order Optimization via Fisher Information | Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini | 2024-05-26 | ArXiv | 0 | 7 |
visibility_off | Lagrangian Neural Networks for Reversible Dissipative Evolution | V. Sundararaghavan, Megna N. Shah, Jeff P. Simmons | 2024-05-23 | ArXiv | 0 | 32 |
visibility_off | Learning Diffusion at Lightspeed | Antonio Terpin, Nicolas Lanzetti, Florian Dörfler | 2024-06-18 | ArXiv | 0 | 10 |
visibility_off | Variational autoencoder-based techniques for a streamlined cross-topology modeling and optimization workflow in electrical drives | Marius Benkert, Michael Heroth, Rainer Herrler, Magda Gregorová, Helmut C. Schmid | 2024-05-24 | Auton. Intell. Syst. | 0 | 1 |
visibility_off | Constructing coarse-grained models with physics-guided Gaussian process regression | Yating Fang, Qian Qian Zhao, R. Sills, A. Ezzat | 2024-06-01 | APL Machine Learning | 0 | 19 |
visibility_off | Neural Network Representations of Multiphase Equations of State | George A. Kevrekidis, Daniel A. Serino, Alexander Kaltenborn, J. Gammel, J. Burby, Marc L. Klasky | 2024-06-28 | ArXiv | 0 | 16 |
visibility_off | Orbital cluster-based network modelling | A. Colanera, Nan Deng, M. Chiatto, Luigi De Luca, Bernd R. Noack | 2024-07-01 | ArXiv | 0 | 12 |
visibility_off | Density-Based Long-Range Electrostatic Descriptors for Machine Learning Force Fields | Carolin Faller, Merzuk Kaltak, Georg Kresse | 2024-06-25 | ArXiv | 0 | 15 |
visibility_off | Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale | Pol Timmer, Koen Minartz, V. Menkovski | 2024-05-26 | ArXiv | 0 | 7 |
visibility_off | ULTRA-MC: A Unified Approach to Learning Mixtures of Markov Chains via Hitting Times | Fabian Spaeh, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis | 2024-05-23 | ArXiv | 0 | 32 |
visibility_off | A scale-similarity based workflow for self-supervised reconstruction of small-scales in turbulence using deep learning | Priyabrat Dash, K. Aditya | 2024-07-01 | Physics of Fluids | 0 | 8 |
visibility_off | On Regularization via Early Stopping for Least Squares Regression | Rishi Sonthalia, Jackie Lok, E. Rebrova | 2024-06-06 | ArXiv | 0 | 9 |
visibility_off | Metric-Entropy Limits on Nonlinear Dynamical System Learning | Yang Pan, Clemens Hutter, Helmut Bolcskei | 2024-07-01 | ArXiv | 0 | 2 |
visibility_off | Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data | Tim Gyger, Reinhard Furrer, Fabio Sigrist | 2024-05-23 | ArXiv | 0 | 0 |
visibility_off | FUSE: Fast Unified Simulation and Estimation for PDEs | Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas | 2024-05-23 | ArXiv | 0 | 1 |
visibility_off | Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent | Adrien Schertzer, Loucas Pillaud-Vivien | 2024-07-02 | ArXiv | 0 | 10 |
visibility_off | Assessing the Accuracy and Efficiency of Free Energy Differences Obtained from Reweighted Flow-Based Probabilistic Generative Models. | Edgar Olehnovics, Yifei Michelle Liu, Nada Mehio, Ahmad Y Sheikh, Michael R. Shirts, M. Salvalaglio | 2024-07-10 | Journal of chemical theory and computation | 1 | 46 |
visibility_off | Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows | A. Cabezas, Louis Sharrock, Christopher Nemeth | 2024-05-23 | ArXiv | 0 | 3 |
visibility_off | Pi-fusion: Physics-informed diffusion model for learning fluid dynamics | Jing Qiu, Jiancheng Huang, Xiangdong Zhang, Zeng Lin, Minglei Pan, Zengding Liu, F. Miao | 2024-06-06 | ArXiv | 1 | 20 |
visibility_off | On the Mode-Seeking Properties of Langevin Dynamics | Xiwei Cheng, Kexin Fu, Farzan Farnia | 2024-06-04 | ArXiv | 0 | 10 |
visibility_off | Ensemble and Mixture-of-Experts DeepONets For Operator Learning | Ramansh Sharma, Varun Shankar | 2024-05-20 | ArXiv | 0 | 2 |
visibility_off | Peering inside the black box: Learning the relevance of many-body functions in Neural Network potentials | Klara Bonneau, Jonas Lederer, Clark Templeton, David Rosenberger, Klaus-Robert Muller, Cecilia Clementi | 2024-07-05 | ArXiv | 0 | 4 |
visibility_off | Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior | Anming Gu, Edward Chien, K. Greenewald | 2024-06-11 | ArXiv | 0 | 20 |
visibility_off | HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context | Federico Arangath Joseph, K. Haefeli, Noah Liniger, Caglar Gulcehre | 2024-07-12 | ArXiv | 0 | 3 |
visibility_off | On the dynamics of convolutional recurrent neural networks near their critical point | Aditi Chandra, M. Magnasco | 2024-05-22 | ArXiv | 1 | 42 |
visibility_off | Neural Persistence Dynamics | Sebastian Zeng, Florian Graf, M. Uray, Stefan Huber, R. Kwitt | 2024-05-24 | ArXiv | 0 | 32 |
visibility_off | Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows | Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart | 2024-06-25 | ArXiv | 0 | 2 |
visibility_off | Exploiting Chaotic Dynamics as Deep Neural Networks | Shuhong Liu, Nozomi Akashi, Qingyao Huang, Yasuo Kuniyoshi, Kohei Nakajima | 2024-05-29 | ArXiv | 1 | 8 |
visibility_off | Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep Learning | A. Noorizadegan, R. Cavoretto, D. Young, C. S. Chen | 2024-07-10 | ArXiv | 0 | 4 |
visibility_off | Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models | Camila Pazos, Shuchin Aeron, P. Beauchemin, Vincent Croft, Martin Klassen, Taritree Wongjirad | 2024-06-03 | ArXiv | 0 | 41 |
visibility_off | Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions | Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Luca Pesce, Ludovic Stephan | 2024-05-24 | ArXiv | 1 | 9 |
visibility_off | Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models | Kaiyuan Tan, Peilun Li, Thomas Beckers | 2024-06-17 | DBLP, ArXiv | 0 | 1 |
visibility_off | Active search for Bifurcations | Y. M. Psarellis, T. Sapsis, I. G. Kevrekidis | 2024-06-17 | ArXiv | 0 | 37 |
visibility_off | Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning rates | Steffen Dereich, Robin Graeber, Arnulf Jentzen | 2024-07-11 | ArXiv | 0 | 45 |
visibility_off | Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks | Felix Dangel, Johannes Müller, Marius Zeinhofer | 2024-05-24 | ArXiv | 0 | 6 |
visibility_off | The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models | S. Kandasamy, Dheeraj M. Nagaraj | 2024-05-27 | ArXiv | 1 | 13 |
visibility_off | Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in Mixed-Species Collective Motion | Masahito Uwamichi, S. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai | 2024-05-26 | ArXiv | 0 | 10 |
visibility_off | Reinforcement Learning for Adaptive MCMC | Congye Wang, Wilson Chen, Heishiro Kanagawa, C. Oates | 2024-05-22 | ArXiv | 1 | 24 |
visibility_off | On Dissipativity of Cross-Entropy Loss in Training ResNets | Jens Püttschneider, T. Faulwasser | 2024-05-29 | ArXiv | 0 | 28 |
visibility_off | On the Definition of Velocity in Discrete-Time, Stochastic Langevin Simulations | Niels Gronbech-Jensen | 2024-05-25 | ArXiv | 0 | 0 |
visibility_off | Joint Learning of Linear Dynamical Systems under Smoothness Constraints | Hemant Tyagi | 2024-06-03 | ArXiv | 0 | 0 |
visibility_off | Enhancing the Prediction of Glass Dynamics by Incorporating the Direction of Deviation from Equilibrium Positions | Xiao Jiang, Zean Tian, Kenli Li, Wangyu Hu | 2024-07-08 | ArXiv | 0 | 7 |
visibility_off | The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms | Elizabeth Collins-Woodfin, Inbar Seroussi, Begona Garc'ia Malaxechebarr'ia, Andrew W. Mackenzie, Elliot Paquette, Courtney Paquette | 2024-05-30 | ArXiv | 0 | 6 |
visibility_off | Time Series Clustering with General State Space Models via Stochastic Variational Inference | Ryoichi Ishizuka, Takashi Imai, Kaoru Kawamoto | 2024-06-29 | ArXiv | 0 | 0 |
visibility_off | Function and derivative approximation by shallow neural networks | Yuanyuan Li, Shuai Lu | 2024-07-06 | ArXiv | 0 | 1 |
visibility_off | Complete realization of energy landscapes and non-equilibrium trapping dynamics in small spin glass and optimization problems | H. Po, Chi Ho Yeung | 2024-07-08 | Scientific Reports | 0 | 2 |
visibility_off | Causal inference through multi-stage learning and doubly robust deep neural networks | Yuqian Zhang, Jelena Bradic | 2024-07-11 | ArXiv | 0 | 1 |
visibility_off | Latent Variable Sequence Identification for Cognitive Models with Neural Bayes Estimation | Ti-Fen Pan, Jing-Jing Li, Bill Thompson, Anne Collins | 2024-06-20 | ArXiv | 0 | 1 |
visibility_off | Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing | Keita Tokuda, Yuichi Katori | 2024-06-20 | ArXiv | 0 | 10 |
visibility_off | Glassy dynamics in deep neural networks: A structural comparison | Max Kerr Winter, Liesbeth M. C. Janssen | 2024-05-21 | ArXiv | 0 | 0 |
visibility_off | Unlocking Guidance for Discrete State-Space Diffusion and Flow Models | Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten | 2024-06-03 | ArXiv | 0 | 6 |
visibility_off | Lattice physics approaches for neural networks | G. Bardella, Simone Franchini, P. Pani, S. Ferraina | 2024-05-20 | ArXiv | 0 | 35 |
visibility_off | Convolutional dynamical sampling and some new results | Longxiu Huang, A. M. Neuman, Sui Tang, Yuying Xie | 2024-06-21 | ArXiv | 0 | 0 |
visibility_off | An extrapolation-driven network architecture for physics-informed deep learning | Yong Wang, Yanzhong Yao, Zhiming Gao | 2024-06-18 | ArXiv | 0 | 1 |
visibility_off | Faster Sampling via Stochastic Gradient Proximal Sampler | Xunpeng Huang, Difan Zou, Yian Ma, Hanze Dong, Tong Zhang | 2024-05-27 | ArXiv | 0 | 14 |
visibility_off | Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters | Ioannis Rotous, Alex Diana, Alessio Farcomeni, Eleni Material, Andr'ea Thiebault | 2024-07-15 | ArXiv | 0 | 2 |
visibility_off | Constructive Function Approximation with Local Models | Christos N. Mavridis, K. H. Johansson | 2024-06-11 | 2024 32nd Mediterranean Conference on Control and Automation (MED) | 0 | 0 |
visibility_off | Exact Gauss-Newton Optimization for Training Deep Neural Networks | Mikalai Korbit, Adeyemi Damilare Adeoye, Alberto Bemporad, Mario Zanon | 2024-05-23 | ArXiv | 0 | 2 |
visibility_off | A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers | Daniel Waxman, Petar M. Djuri'c | 2024-06-01 | ArXiv | 0 | 1 |
visibility_off | Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties | Johannes Zenn, Dominik Gond, F. Jirasek, Robert Bamler | 2024-06-12 | ArXiv | 0 | 14 |
visibility_off | How Inductive Bias in Machine Learning Aligns with Optimality in Economic Dynamics | Mahdi Ebrahimi Kahou, James Yu, Jesse Perla, Geoff Pleiss | 2024-06-04 | ArXiv | 0 | 2 |
visibility_off | Conditional score-based diffusion models for solving inverse problems in mechanics | Agnimitra Dasgupta, Harisankar Ramaswamy, J. M. Esandi, Ken Foo, Runze Li, Qifa Zhou, Brendan Kennedy, Assad Oberai | 2024-06-19 | ArXiv | 0 | 14 |
visibility_off | Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning | Jae Yong Lee, Yeoneung Kim | 2024-06-16 | ArXiv | 1 | 5 |
visibility_off | Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes | J. Lin, S. Padhy, Bruno Mlodozeniec, Jos'e Miguel Hern'andez-Lobato | 2024-05-28 | ArXiv | 0 | 3 |
visibility_off | Evaluating the design space of diffusion-based generative models | Yuqing Wang, Ye He, Molei Tao | 2024-06-18 | ArXiv | 0 | 1 |
visibility_off | Self-consistent Coulomb interactions for machine learning interatomic potentials | Jack Thomas, William J. Baldwin, G'abor Cs'anyi, Christoph Ortner | 2024-06-16 | ArXiv | 0 | 3 |
visibility_off | Temporal Convolution Derived Multi-Layered Reservoir Computing | Johannes Viehweg, Dominik Walther, Prof. Dr.-Ing. Patrick Mader | 2024-07-09 | ArXiv | 0 | 2 |
visibility_off | The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof | Derek Lim, Moe Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka | 2024-05-30 | ArXiv | 0 | 23 |
visibility_off | Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines | Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, D. Kottonau, Klemens Böhm | 2024-05-31 | Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems | 0 | 8 |
visibility_off | Bartender: Martini 3 Bonded Terms via Quantum Mechanics-Based Molecular Dynamics. | Gilberto P. Pereira, Riccardo Alessandri, Moisés Domínguez, Rocío Araya-Osorio, Linus Grünewald, Luís Borges-Araújo, Sangwook Wu, Siewert J. Marrink, Paulo C. T. Souza, Raúl Mera-Adasme | 2024-06-26 | Journal of chemical theory and computation | 0 | 19 |
visibility_off | Computing hydration free energies of small molecules with first principles accuracy | J. H. Moore, Daniel J. Cole, Gábor Csányi | 2024-05-28 | ArXiv | 0 | 2 |
visibility_off | Deep linear networks for regression are implicitly regularized towards flat minima | Pierre Marion, L'enaic Chizat | 2024-05-22 | ArXiv | 1 | 1 |
visibility_off | Learning dynamical models from stochastic trajectories | Pierre Ronceray | 2024-06-04 | ArXiv | 0 | 0 |
visibility_off | Physics informed cell representations for variational formulation of multiscale problems | Yuxiang Gao, Soheil Kolouri, R. Duddu | 2024-05-27 | ArXiv | 0 | 28 |
visibility_off | Separation Power of Equivariant Neural Networks | Marco Pacini, Xiaowen Dong, Bruno Lepri, G. Santin | 2024-06-13 | ArXiv | 0 | 5 |
visibility_off | The dynamics of machine-learned"softness"in supercooled liquids describe dynamical heterogeneity | S. Ridout, Andrea J. Liu | 2024-06-09 | ArXiv | 0 | 8 |
visibility_off | Amortized Equation Discovery in Hybrid Dynamical Systems | Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, E. Gavves | 2024-06-06 | ArXiv | 0 | 36 |
visibility_off | Scaling up Probabilistic PDE Simulators with Structured Volumetric Information | Tim Weiland, Marvin Pförtner, Philipp Hennig | 2024-06-07 | ArXiv | 0 | 1 |
visibility_off | Probabilistic response determination of high-dimensional nonlinear dynamical systems enforced by parametric multiple Poisson white noises | Jian-Bing Chen, Meng-Ze Lyu | 2024-05-20 | Nonlinear Dynamics | 0 | 7 |
visibility_off | Consistency Models Made Easy | Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Z. Kolter | 2024-06-20 | ArXiv | 0 | 59 |
visibility_off | Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics | Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Ouyang Cheng, Bernhard Kainz | 2024-06-19 | ArXiv | 0 | 1 |
visibility_off | Low-resolution descriptions of model neural activity reveal hidden features and underlying system properties | Riccardo Aldrigo, R. Menichetti, R. Potestio | 2024-05-23 | ArXiv | 0 | 24 |
visibility_off | Unsupervised machine learning for detecting mutual independence among eigenstate regimes in interacting quasiperiodic chains | Colin Beveridge, Cassio Cristani, Xiao Li, Enrico Barbierato, Yi-Ting Hsu | 2024-07-08 | ArXiv | 0 | 2 |
visibility_off | BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics | Hao Wu, Xingjian Shi, Ziyue Huang, Penghao Zhao, Wei Xiong, Jinbao Xue, Yangyu Tao, Xiaomeng Huang, Weiyan Wang | 2024-05-27 | ArXiv | 0 | 1 |
visibility_off | ArcaNN: automated enhanced sampling generation of training sets for chemically reactive machine learning interatomic potentials | Rolf David, Miguel de la Puente, Axel Gomez, Olaia Anton, Guillaume Stirnemann, Damien Laage Pasteur, D'epartement de Chimie, 'Ecole Normale Sup'erieure, P. university, Sorbonne University, Cnrs, Paris | 2024-07-10 | ArXiv | 0 | 52 |
visibility_off | Proximal Interacting Particle Langevin Algorithms | Paula Cordero Encinar, F. R. Crucinio, O. D. Akyildiz | 2024-06-20 | ArXiv | 1 | 6 |
visibility_off | An approach to non-equilibrium statistical physics using variational Bayesian inference | M. Ramstead, D. A. R. Sakthivadivel, K. Friston | 2024-06-17 | ArXiv | 0 | 23 |
visibility_off | Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method | Yuling Jiao, Yanming Lai, Yang Wang | 2024-05-19 | ArXiv | 0 | 6 |
visibility_off | Symmetry-Informed Governing Equation Discovery | Jianwei Yang, Wang Rao, Nima Dehmamy, R. Walters, Rose Yu | 2024-05-27 | ArXiv | 0 | 20 |
visibility_off | Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data | Bastian Boll, Daniel Gonzalez-Alvarado, Stefania Petra, Christoph Schnorr | 2024-06-06 | ArXiv | 0 | 14 |
visibility_off | Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime | A. Shilton, Sunil Gupta, Santu Rana, S. Venkatesh | 2024-05-24 | ArXiv | 0 | 24 |
visibility_off | APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation | Zhitao Zhu, Chuanfu Xiao, Keju Tang, Jizu Huang, Chao Yang | 2024-05-21 | ArXiv | 0 | 7 |
visibility_off | Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics | Jonas Spinner, Victor Bres'o, P. D. Haan, Tilman Plehn, Jesse Thaler, Johann Brehmer | 2024-05-23 | ArXiv | 2 | 13 |
visibility_off | Long Short-term Cognitive Networks: An Empirical Performance Study | Gonzalo Nápoles, Isel Grau | 2024-05-23 | 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) | 0 | 13 |
visibility_off | A Study of Posterior Stability for Time-Series Latent Diffusion | Yangming Li, M. Schaar | 2024-05-22 | ArXiv | 0 | 64 |
visibility_off | Langevin Dynamics: A Unified Perspective on Optimization via Lyapunov Potentials | August Y. Chen, Ayush Sekhari, Karthik Sridharan | 2024-07-05 | ArXiv | 0 | 11 |
visibility_off | Adaptive energy reference for machine-learning models of the electronic density of states | Wei Bin How, Sanggyu Chong, Federico Grasselli, Kevin K. Huguenin-Dumittan, Michele Ceriotti | 2024-07-01 | ArXiv | 0 | 2 |
visibility_off | Application of physics encoded neural networks to improve predictability of properties of complex multi-scale systems | M. Meinders, Jack Yang, Erik van der Linden | 2024-07-01 | Scientific Reports | 0 | 29 |
visibility_off | Model-Based Diffusion for Trajectory Optimization | Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu | 2024-05-28 | ArXiv | 1 | 1 |
visibility_off | Early stopping for conjugate gradients in statistical inverse problems | Laura Hucker, Markus Reiss | 2024-06-21 | ArXiv | 0 | 0 |
visibility_off | Gradient matching accelerates mixed-effects inference for biochemical networks | Yulan B van Oppen, Andreas Milias-Argeitis | 2024-06-12 | bioRxiv | 0 | 15 |
visibility_off | Gradients of Functions of Large Matrices | Nicholas Krämer, Pablo Moreno-Munoz, Hrittik Roy, Søren Hauberg | 2024-05-27 | ArXiv | 0 | 8 |
visibility_off | Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo | Gilad Turok, Chirag Modi, Bob Carpenter | 2024-06-04 | ArXiv | 0 | 0 |
visibility_off | Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation | Adeline Samson, M. Tamborrino, I. Tubikanec | 2024-05-28 | ArXiv | 0 | 11 |
visibility_off | H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent | Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu | 2024-06-14 | ArXiv | 0 | 1 |
visibility_off | Role of correlations in the maximum distribution of multiscale stationary Markovian processes | Salvatore Micciche | 2024-05-19 | ArXiv | 0 | 0 |
visibility_off | Flow Perturbation to Accelerate Unbiased Sampling of Boltzmann distribution | Xin Peng, Ang Gao | 2024-07-15 | ArXiv | 0 | 0 |
visibility_off | Towards stable training of parallel continual learning | Yuepan Li, Fan Lyu, Yuyang Li, Wei Feng, Guangcan Liu, Fanhua Shang | 2024-07-11 | ArXiv | 0 | 2 |
visibility_off | Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN | Mikolaj Kita, Jan Dubi'nski, Przemyslaw Rokita, K. Deja | 2024-06-05 | ArXiv | 0 | 29 |
visibility_off | Learning Force Field Parameters from Differentiable Particle-Field Molecular Dynamics. | Manuel Carrer, H. M. Cezar, S. Bore, Morten Ledum, Michele Cascella | 2024-07-04 | Journal of chemical information and modeling | 0 | 11 |
visibility_off | Thermodynamic Natural Gradient Descent | Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin Crooks, Patrick J. Coles | 2024-05-22 | ArXiv | 0 | 4 |
visibility_off | Demystifying SGD with Doubly Stochastic Gradients | Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner | 2024-06-03 | ArXiv | 0 | 6 |
visibility_off | Recurrent Stochastic Configuration Networks for Temporal Data Analytics | Dianhui Wang, Gang Dang | 2024-06-21 | ArXiv | 0 | 1 |
visibility_off | Solving Inverse Problems in Protein Space Using Diffusion-Based Priors | A. Levy, E. R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein | 2024-06-06 | ArXiv | 0 | 7 |
visibility_off | Scalable Optimization in the Modular Norm | Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein | 2024-05-23 | ArXiv | 0 | 9 |
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |