Koopman operator

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Manually curated articles on Koopman operator

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
visibility_off Hamiltonian Systems and Transformation in Hilbert Space. B. O. Koopman 1931-05-01 Proceedings of the National Academy of Sciences of the United States of America 1661 18 open_in_new
visibility_off Applied Koopmanism. M. Budišić, Ryan Mohr, I. Mezić 2012-06-14 Chaos 724 49 open_in_new
visibility_off Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch, J. Kutz, S. Brunton 2017-12-27 Nature Communications 986 63 open_in_new
visibility_off Deep learning models for global coordinate transformations that linearise PDEs Craig Gin, Bethany Lusch, S. Brunton, J. Kutz 2019-11-07 European Journal of Applied Mathematics 31 63 open_in_new
visibility_off From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction Henning Lange, S. Brunton, N. Kutz 2020-04-01 J. Mach. Learn. Res., Journal of machine learning research 58 63 open_in_new
visibility_off Modern Koopman Theory for Dynamical Systems S. Brunton, M. Budišić, E. Kaiser, J. Kutz 2021-02-24 SIAM Review, SIAM Rev. 271 63 open_in_new
visibility_off Parsimony as the ultimate regularizer for physics-informed machine learning J. Kutz, S. Brunton 2022-01-20 Nonlinear Dynamics 26 63 open_in_new
Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations

Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index
visibility_off Data-Driven Linearization of Dynamical Systems George Haller, B. Kasz'as 2024-07-11 ArXiv 0 0
visibility_off Limits and Powers of Koopman Learning Matthew J. Colbrook, Igor Mezi'c, Alexei Stepanenko 2024-07-08 ArXiv 0 16
visibility_off Koopman-LQR Controller for Quadrotor UAVs from Data Zeyad M. Manaa, Ayman M. Abdallah, Mohammad A. Abido, Syed S. Azhar Ali 2024-06-25 ArXiv 0 1
visibility_off Data-Driven Control of Linear Parabolic Systems using Koopman Eigenstructure Assignment Member Ieee Joachim Deutscher 2024-06-29 ArXiv 0 0
visibility_off Analytic Extended Dynamic Mode Decomposition A. Mauroy, Igor Mezic 2024-05-24 ArXiv 0 15
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 Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics J. Kutz, M. Reza, F. Faraji, A. Knoll 2024-05-20 ArXiv 1 31
visibility_off Modeling Nonlinear Dynamics from Videos Antony Yang, Joar Axaas, Fanni K'ad'ar, G'abor St'ep'an, George Haller 2024-06-13 ArXiv 1 0
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 On instabilities in neural network-based physics simulators Daniel Floryan 2024-06-18 ArXiv 0 0
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 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 System stabilization with policy optimization on unstable latent manifolds Steffen W. R. Werner, B. Peherstorfer 2024-07-08 ArXiv 0 27
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 Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach Kexin Tian, Haotian Shi, Yang Zhou, Sixu Li 2024-06-20 ArXiv 0 6
visibility_off Continuum Attention for Neural Operators Edoardo Calvello, Nikola B. Kovachki, Matthew E. Levine, Andrew M. Stuart 2024-06-10 ArXiv 0 20
visibility_off Data-driven optimal prediction with control Aleksandr Katrutsa, Ivan V. Oseledets, Sergey Utyuzhnikov 2024-06-04 ArXiv 0 4
visibility_off Variability of SST through Koopman modes Antonio Navarra, Joe Tribbia, Stefan Klus, Paula Lorenzo-Sánchez 2024-06-03 Journal of Climate 0 0
visibility_off Neural empirical interpolation method for nonlinear model reduction Max Hirsch, F. Pichi, J. Hesthaven 2024-06-05 ArXiv 0 64
visibility_off Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator Shiqi Zhang, D. Gadginmath, Fabio Pasqualetti 2024-06-04 ArXiv 0 3
visibility_off Metric-Entropy Limits on Nonlinear Dynamical System Learning Yang Pan, Clemens Hutter, Helmut Bolcskei 2024-07-01 ArXiv 0 2
visibility_off Minimum Reduced-Order Models via Causal Inference Nan Chen, Honghu Liu 2024-06-29 ArXiv 0 0
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 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 Random features approximation for control-affine systems Kimia Kazemian, Yahya Sattar, Sarah Dean 2024-06-10 ArXiv 0 1
visibility_off Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models Christopher W. Curtis, Erik Bollt, D. J. Alford-Lago 2024-06-17 ArXiv 0 2
visibility_off Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints Yunjin Tong 2024-06-20 ArXiv 0 0
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 Analog Data-Driven Theory and Estimation of the Region of Attraction Using Sampled-Data Karthik Shenoy, Arvind Ragghav, V. Chellaboina 2024-07-11 ArXiv 0 30
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 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 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 Deep Bayesian Filter for Bayes-faithful Data Assimilation Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda 2024-05-29 ArXiv 0 0
visibility_off Sparse identification of quasipotentials via a combined data-driven method Bo Lin, P. Belardinelli 2024-07-06 ArXiv 0 12
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 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 Galerkin Neural Network-POD for Acoustic and Electromagnetic Wave Propagation in Parametric Domains Philipp Weder, Mariella Kast, Fernando Henr'iquez, J. Hesthaven 2024-06-19 ArXiv 0 64
visibility_off An overview of systems-theoretic guarantees in data-driven model predictive control J. Berberich, Frank Allgöwer 2024-06-06 ArXiv 0 21
visibility_off Identifying the onset and decay of quasi-stationary families of almost-invariant sets with an application to atmospheric blocking events Aleksandar Badza, Gary Froyland School of Mathematics, Statistics Unsw Sydney Nsw Australia 2024-07-09 ArXiv 0 0
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 Modeling Unknown Stochastic Dynamical System Subject to External Excitation Yuan Chen, Dongbin Xiu 2024-06-22 ArXiv 0 1
visibility_off Unambiguous Models and Machine Learning Strategies for Anomalous Extreme Events in Turbulent Dynamical System D. Qi 2024-06-01 Entropy 0 13
visibility_off From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems Xin Li, Jingdong Zhang, Qunxi Zhu, Chengli Zhao, Xue Zhang, Xiaojun Duan, Wei Lin 2024-05-19 ArXiv 0 12
visibility_off Closed-form Symbolic Solutions: A New Perspective on Solving Partial Differential Equations Shu Wei, Yanjie Li, Lina Yu, Min Wu, Weijun Li, Meilan Hao, Wenqiang Li, Jingyi Liu, Yusong Deng 2024-05-23 ArXiv 0 13
visibility_off Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification Christian Offen 2024-07-10 ArXiv 0 0
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 Extended dynamic mode decomposition for model reduction in fluid dynamics simulations G. Libero, Alessia Chiofalo, V. Ciriello, D. Tartakovsky 2024-06-01 Physics of Fluids 0 47
visibility_off Solving partial differential equations with sampled neural networks Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich 2024-05-31 ArXiv 0 4
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 Iterative Sparse Identification of Nonlinear Dynamics Jinho Choi 2024-06-06 ArXiv 0 0
visibility_off Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint) John W. Brooks, Christine M. Greve 2024-05-30 ArXiv 0 0
visibility_off Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery Jie Feng, Haohan Zou, Yuanyuan Shi 2024-06-21 ArXiv 0 0
visibility_off Non-intrusive reduced-order model for time-dependent stochastic partial differential equations utilizing dynamic mode decomposition and polynomial chaos expansion. Shuman Wang, Afshan Batool, Xiang Sun, Xiaomin Pan 2024-07-01 Chaos 0 7
visibility_off Dynamic Mode Decomposition with Gaussian Process Regression for Control of High-Dimensional Nonlinear Systems Alexandros Tsolovikos, E. Bakolas, David Goldstein 2024-05-24 Journal of Dynamic Systems, Measurement and Control 1 19
visibility_off Neural Green's Operators for Parametric Partial Differential Equations Hugo Melchers, Joost Prins, Michael Abdelmalik 2024-06-04 ArXiv 1 0
visibility_off Convergence, optimization and stability of singular eigenmaps Bernard Akwei, Bobita Atkins, Rachel Bailey, Ashka Dalal, Natalie Dinin, Jonathan Kerby-White, Tess McGuinness, Tonya Patricks, Luke Rogers, Genevieve Romanelli, Yiheng Su, Alexander Teplyaev 2024-06-27 ArXiv 0 0
visibility_off The Internal Model Principle of Time-Varying Optimization G. Bianchin, Bryan Van Scoy 2024-07-10 ArXiv 0 11
visibility_off Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation Yifan Chen, Bamdad Hosseini, H. Owhadi, Andrew M. Stuart 2024-05-21 ArXiv 0 36
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 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 Stochastic modeling of stationary scalar Gaussian processes in continuous time from autocorrelation data Martin Hanke 2024-06-24 Advances in Computational Mathematics 0 0
visibility_off Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures S. Sanborn, Johan Mathe, Mathilde Papillon, Domas Buracas, Hansen Lillemark, Christian Shewmake, Abby Bertics, Xavier Pennec, Nina Miolane 2024-07-12 ArXiv 0 7
visibility_off An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study Milad Ramezankhani, A. Deodhar, Rishi Parekh, Dagnachew Birru 2024-06-20 ArXiv 0 7
visibility_off Long short-term memory (LSTM) neural networks for predicting dynamic responses and application in piezoelectric energy harvesting Yabin Liao, Feng Qian, Ruiyang Zhang, Priyanshu Kumar 2024-05-24 Smart Materials and Structures 0 0
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 A Data-Driven Approach to Set-Theoretic Model Predictive Control for Nonlinear Systems Francesco Giannini, Domenico Famularo 2024-06-23 Information 0 0
visibility_off Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts - Physics Informed Neural Operator Forward Model C. Etienam, Juntao Yang, O. Ovcharenko, Issam Said 2024-06-02 ArXiv 0 4
visibility_off Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning Tobias Nagel, Marco F. Huber 2024-06-28 ArXiv 0 2
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 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 Lagrangian Neural Networks for Reversible Dissipative Evolution V. Sundararaghavan, Megna N. Shah, Jeff P. Simmons 2024-05-23 ArXiv 0 32
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 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 Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Mart'inez, Joaquin Fontbona 2024-05-30 ArXiv 0 0
visibility_off Godunov Loss Functions for Modelling of Hyperbolic Conservation Laws R. G. Cassia, R. Kerswell 2024-05-19 ArXiv 0 44
visibility_off Error estimates of physics-informed neural networks for approximating Boltzmann equation E. Abdo, Lihui Chai, Ruimeng Hu, Xu Yang 2024-07-11 ArXiv 0 1
visibility_off Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee 2024-05-31 ArXiv 0 1
visibility_off Nonlinear compressive reduced basis approximation for multi-parameter elliptic problem Christophe Prud'Homme, Yvon Maday, Hassan Ballout 2024-07-04 ArXiv 0 4
visibility_off Addressing the Non-perturbative Regime of the Quantum Anharmonic Oscillator by Physics-Informed Neural Networks Lorenzo Brevi, Antonio Mandarino, Enrico Prati 2024-05-22 ArXiv 0 0
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 Tensor-Based Data-Driven Identification of Partial Differential Equations Wanting Lin, Xiaofan Lu, Linan Zhang 2024-06-10 Journal of Computational and Nonlinear Dynamics 0 1
visibility_off MBD-NODE: Physics-informed data-driven modeling and simulation of constrained multibody systems Jingquan Wang, Shu Wang, H. Unjhawala, Jinlong Wu, D. Negrut 2024-07-11 ArXiv 0 28
visibility_off Model Updating for Nonlinear Systems with Stability Guarantees Farhad Ghanipoor, C. Murguia, Peyman Mohajerin Esfahani, N. Wouw 2024-06-10 ArXiv 0 47
visibility_off Data‐driven variational method for discrepancy modeling: Dynamics with small‐strain nonlinear elasticity and viscoelasticity Arif Masud, Shoaib A. Goraya 2024-07-04 International Journal for Numerical Methods in Engineering 0 3
visibility_off Model fusion for efficient learning of nonlinear dynamical systems Vatsal Kedia, Vivek S. Pinnamaraju, Dinesh Patil 2024-06-06 ArXiv 0 2
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 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 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 Survival of the Fittest Representation: A Case Study with Modular Addition Xiaoman Delores Ding, Zifan Carl Guo, Eric J. Michaud, Ziming Liu, Max Tegmark 2024-05-27 ArXiv 0 14
visibility_off STEP: extraction of underlying physics with robust machine learning Karim K. Alaa El-Din, Alessandro Forte, Muhammad Firmansyah Kasim, Francesco Miniati, Sam M. Vinko 2024-06-01 Royal Society Open Science 0 1
visibility_off Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression Bernhard Stankewitz, Botond Szabo 2024-06-18 ArXiv 0 2
visibility_off Joint Learning of Linear Dynamical Systems under Smoothness Constraints Hemant Tyagi 2024-06-03 ArXiv 0 0
visibility_off Data‐driven nonlinear state observation for controlled systems: A kernel method and its analysis Moritz Woelk, Wentao Tang 2024-07-08 The Canadian Journal of Chemical Engineering 0 1
visibility_off Tensor Network Space-Time Spectral Collocation Method for Solving the Nonlinear Convection Diffusion Equation Dibyendu Adak, M. E. Danis, Duc P. Truong, Kim Ø. Rasmussen, B. Alexandrov 2024-06-04 ArXiv 0 22
visibility_off VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation Yi Xiao, Qilong Jia, Wei Xue, Lei Bai 2024-05-22 ArXiv 0 1
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 Space-Filling Input Design for Nonlinear State-Space Identification M'at'e Kiss, Roland T'oth, M. Schoukens 2024-05-28 ArXiv 0 18
visibility_off Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design Shahroz Khan, Zahid Masood, Muhammad Usama, Konstantinos V. Kostas, P. Kaklis, Wei Chen 2024-07-10 ArXiv 0 21
visibility_off A Distributed Neural Hybrid System Learning Framework in Modeling Complex Dynamical Systems. Yejiang Yang, Tao Wang, Weiming Xiang 2024-06-28 IEEE transactions on neural networks and learning systems 0 2
visibility_off Optimal deep learning of holomorphic operators between Banach spaces Ben Adcock, N. Dexter, S. Moraga 2024-06-20 ArXiv 0 9
visibility_off Learning Diffusion at Lightspeed Antonio Terpin, Nicolas Lanzetti, Florian Dörfler 2024-06-18 ArXiv 0 10
visibility_off Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao, Caroline Muller, Francesco Locatello 2024-05-22 ArXiv 0 9
visibility_off Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie, Naoto Mitsume 2024-05-25 ArXiv 0 0
visibility_off Snapshot-driven Rational Interpolation of Parametric Systems Art J. R. Pelling, Karim Cherifi, I. V. Gosea, E. Sarradj 2024-06-03 ArXiv 0 25
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 Nonlinear time-series embedding by monotone variational inequality Jonathan Y. Zhou, Yao Xie 2024-06-11 ArXiv 0 0
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 Separation Power of Equivariant Neural Networks Marco Pacini, Xiaowen Dong, Bruno Lepri, G. Santin 2024-06-13 ArXiv 0 5
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 Fast Numerical Approximation of Linear, Second-Order Hyperbolic Problems Using Model Order Reduction and the Laplace Transform Fernando Henriquez, J. Hesthaven 2024-05-30 ArXiv 1 64
visibility_off Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction Christoph Jurgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz 2024-06-07 ArXiv 0 3
visibility_off Lattice physics approaches for neural networks G. Bardella, Simone Franchini, P. Pani, S. Ferraina 2024-05-20 ArXiv 0 35
visibility_off Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity Benjamin Shih, Ahmad Peyvan, Zhongqiang Zhang, G. Karniadakis 2024-05-29 ArXiv 0 127
visibility_off Data-driven system identification of unknown systems utilising sparse identification of nonlinear dynamics (SINDy) P. Pandey, H. Haddad Khodaparast, M. Friswell, T. Chatterjee, N. Jamia, T. Deighan 2024-06-01 Journal of Physics: Conference Series 0 1
visibility_off Learning deformable linear object dynamics from a single trajectory Shamil Mamedov, A. R. Geist, Ruan Viljoen, Sebastian Trimpe, Jan Swevers 2024-07-03 ArXiv 0 6
visibility_off Rank Reduction Autoencoders - Enhancing interpolation on nonlinear manifolds Jad Mounayer, Sebastian Rodriguez, C. Ghnatios, Charbel Farhat, Francisco Chinesta 2024-05-22 ArXiv 0 13
visibility_off Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise Ziyi Zhang, Yorie Nakahira, Guannan Qu 2024-05-31 ArXiv 0 10
visibility_off Simultaneous System Identification and Model Predictive Control with No Dynamic Regret Hongyu Zhou, Vasileios Tzoumas 2024-07-04 ArXiv 0 19
visibility_off Computation and Control of Unstable Steady States for Mean Field Multiagent Systems Sara Bicego, D. Kalise, G. Pavliotis 2024-06-17 ArXiv 0 32
visibility_off Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations Jamie M. Taylor, David Pardo, J. Muñoz‐Matute 2024-05-23 ArXiv 0 7
visibility_off Worst-Case Learning under a Multi-fidelity Model Simon Foucart, Nicolas Hengartner 2024-06-20 ArXiv 0 0
visibility_off Learning-Based Verification of Stochastic Dynamical Systems with Neural Network Policies Thom S. Badings, Wietze Koops, Sebastian Junges, Nils Jansen 2024-06-02 ArXiv 0 7
visibility_off Feedback control of recurrent dynamics constrains learning timescales during motor adaptation Harsha Gurnani, Weixuan Liu, BW Brunton 2024-06-25 bioRxiv 0 5
visibility_off Realizability-Informed Machine Learning for Turbulence Anisotropy Mappings R. McConkey, Eugene Yee, F. Lien 2024-06-17 ArXiv 0 36
visibility_off Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows Sibylle Marcotte, R'emi Gribonval, Gabriel Peyr'e 2024-05-21 ArXiv 0 2
visibility_off Low-rank plus diagonal approximations for Riccati-like matrix differential equations Silvère Bonnabel, Marc Lambert, Francis Bach 2024-07-01 ArXiv 0 3
visibility_off Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms R. Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut cSimcsekli 2024-07-11 ArXiv 0 6
visibility_off Discovery of differential equations using sparse state and parameter regression Teddy Meissner, Karl Glasner 2024-06-10 ArXiv 0 0
visibility_off Laplacian Renormalization Group: An introduction to heterogeneous coarse-graining Guido Caldarelli, A. Gabrielli, Tommaso Gili, Pablo Villegas 2024-06-04 ArXiv 0 12
visibility_off BrowNNe: Brownian Nonlocal Neurons&Activation Functions Sriram Nagaraj, Truman Hickok 2024-06-21 ArXiv 0 0
visibility_off Reconstruction of unknown nonlinear operators in semilinear elliptic models using optimal inputs Jan Bartsch, S. Buchwald, G. Ciaramella, Stefan Volkwein 2024-05-20 ArXiv 0 2
visibility_off Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg Yi Feng, G. Piliouras, Xiao Wang 2024-06-15 ArXiv 0 33
visibility_off Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel 2024-07-04 ArXiv 0 18
visibility_off Approximating Multi-Dimensional and Multiband Signals Yuhan Li, Tianyao Huang, Yimin Liu, Xiqin Wang 2024-05-20 ArXiv 0 26
visibility_off Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao 2024-06-06 ArXiv 0 6
visibility_off Randomized Gradient Descents on Riemannian Manifolds: Almost Sure Convergence to Global Minima in and beyond Quantum Optimization Emanuel Malvetti, Christian Arenz, G. Dirr, Thomas Schulte-Herbruggen 2024-05-20 ArXiv 0 16
visibility_off Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations Wenrui Hao, Xinliang Liu, Yahong Yang 2024-05-23 ArXiv 0 1
visibility_off Data-driven discovery of self-similarity using neural networks Ryota Watanabe, Takanori Ishii, Yuji Hirono, Hirokazu Maruoka 2024-06-06 ArXiv 0 0
visibility_off A discretization-free deep neural network-based approach for advection-dispersion-reaction mechanisms Hande Uslu Tuna, Murat Sari, Tahir Cosgun 2024-05-30 Physica Scripta 0 3
visibility_off Stochastic Reservoir Computers Peter J. Ehlers, H. Nurdin, Daniel Soh 2024-05-20 ArXiv 0 22
visibility_off Nonlinear Eigen-approach ADMM for Sparse Optimization on Stiefel Manifold Jiawei Wang, Rencang Li, Richard Yi Da Xu 2024-06-04 ArXiv 0 0
visibility_off Benchmarking various nonadiabatic semiclassical mapping dynamics methods with tensor-train thermo-field dynamics. Zengkui Liu, Ningyi Lyu, Zhubin Hu, Hao Zeng, Victor S. Batista, Xiang Sun 2024-07-09 The Journal of chemical physics 0 12
visibility_off Optimal Control of Agent-Based Dynamics under Deep Galerkin Feedback Laws Frederik Kelbel 2024-06-13 ArXiv 0 0
visibility_off Active search for Bifurcations Y. M. Psarellis, T. Sapsis, I. G. Kevrekidis 2024-06-17 ArXiv 0 37
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 Discrete-Time Conewise Linear Systems with Finitely Many Switches J. Daafouz, J'erome Loh'eac, Constantin Morarescu, R. Postoyan 2024-06-18 ArXiv 0 42
visibility_off Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks Giulio Ortali, Alessandro Gabbana, Imre Atmodimedjo, Alessandro Corbetta 2024-05-22 ArXiv 0 17
visibility_off Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes Peter Zaspel, Michael Gunther 2024-06-26 ArXiv 0 0
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 Grokfast: Accelerated Grokking by Amplifying Slow Gradients Jaerin Lee, Bong Gyun Kang, Kihoon Kim, Kyoung Mu Lee 2024-05-30 ArXiv 1 3
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 Gradients of Functions of Large Matrices Nicholas Krämer, Pablo Moreno-Munoz, Hrittik Roy, Søren Hauberg 2024-05-27 ArXiv 0 8
visibility_off There is HOPE to Avoid HiPPOs for Long-memory State Space Models Annan Yu, Michael W. Mahoney, N. Benjamin Erichson 2024-05-22 ArXiv 1 22
visibility_off Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data Grant Norman, Jacqueline Wentz, H. Kolla, K. Maute, Alireza Doostan 2024-05-30 ArXiv 0 51
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 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 Data Complexity Estimates for Operator Learning Nikola B. Kovachki, S. Lanthaler, H. Mhaskar 2024-05-25 ArXiv 0 40
visibility_off Information support to solve direct dynamic problem for the previouslydisturbed electromechanicalsystems Roman Voliansky, Oleksandr V. Sadovoi, Olga I. Tolochko, Yurii Shramko 2024-05-27 Herald of Advanced Information Technology 0 5
visibility_off Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao 2024-05-25 ArXiv 0 42
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 Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances Ibon Gracia, Dimitris Boskos, Luca Laurenti, Morteza Lahijanian 2024-06-14 ArXiv 0 17
visibility_off Exploring the Global Dynamics of Networks Trained through Equilibrium Propagation Gianluca Zoppo, F. Corinto, M. Gilli 2024-05-19 2024 IEEE International Symposium on Circuits and Systems (ISCAS) 0 26
visibility_off Revealing trends and persistent cycles of non-autonomous systems with autonomous operator-theoretic techniques G. Froyland, Dimitrios Giannakis, Edoardo Luna, J. Slawinska 2024-05-20 Nature Communications 0 42
visibility_off Bayesian Entropy Neural Networks for Physics-Aware Prediction R. Rathnakumar, Jiayu Huang, Hao Yan, Yongming Liu 2024-07-01 ArXiv 0 3
visibility_off Actor-critic algorithms for fiber sampling problems Ivan Gvozdanovi'c, Sonja Petrovi'c 2024-05-22 ArXiv 0 0
visibility_off Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao 2024-05-23 ArXiv 0 1
visibility_off Bounds on the approximation error for deep neural networks applied to dispersive models: Nonlinear waves Claudio Munoz, Nicol'as Valenzuela 2024-05-22 ArXiv 0 2
visibility_off Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem Valdes Gonzalo 2024-06-15 ArXiv 0 0
visibility_off Modeling Randomly Observed Spatiotemporal Dynamical Systems V. Iakovlev, Harri Lähdesmäki 2024-06-01 ArXiv 0 2
visibility_off Scaling Laws in Linear Regression: Compute, Parameters, and Data Licong Lin, Jingfeng Wu, S. Kakade, Peter L. Bartlett, Jason D. Lee 2024-06-12 ArXiv 0 87
visibility_off Continuous Attractor Networks for Laplace Neural Manifolds Bryan C. Daniels, Marc W. Howard 2024-06-06 ArXiv 0 0
visibility_off Assessment of Uncertainty Quantification in Universal Differential Equations Nina Schmid, David Fernandes del Pozo, Willem Waegeman, Jan Hasenauer 2024-06-13 ArXiv 0 0
visibility_off Bond Graphs for multi-physics informed Neural Networks for multi-variate time series Alexis-Raja Brachet, Pierre-Yves Richard, C'eline Hudelot 2024-05-22 ArXiv 0 1
visibility_off Differentiability and Optimization of Multiparameter Persistent Homology Luis Scoccola, Siddharth Setlur, David Loiseaux, Mathieu Carrière, Steve Oudot 2024-06-11 ArXiv 1 13
visibility_off Structure-preserving formulations for data-driven analysis of coupled multi-physics systems Alba Muixí, David González, Francisco Chinesta, Elías Cueto 2024-06-07 Computational Mechanics 0 13
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 Amortized Equation Discovery in Hybrid Dynamical Systems Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, E. Gavves 2024-06-06 ArXiv 0 36
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 Optimal Control of the Nonlinear Stochastic Fokker--Planck Equation Ben Hambly, Philipp Jettkant 2024-06-24 ArXiv 0 1
visibility_off Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise Jean Barbier, Francesco Camilli, Marco Mondelli, Yizhou Xu 2024-05-31 ArXiv 0 5
visibility_off Exploring localization in nonlinear oscillator systems through network-based predictions Charlotte Geier, Norbert Hoffmann . Hamburg University of Technology, I. -. London 2024-07-07 ArXiv 0 30
visibility_off Impact of Measurement Noise on Escaping Saddles in Variational Quantum Algorithms Eriko Kaminishi, Takashi Mori, M. Sugawara, Naoki Yamamoto 2024-06-14 ArXiv 0 9
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 Entropy annealing for policy mirror descent in continuous time and space Deven Sethi, David Siska, Yufei Zhang 2024-05-30 ArXiv 1 2
visibility_off A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S) D. Landgraf, Andreas Volz, Knut Graichen 2024-07-12 ArXiv 0 2
visibility_off Cubic regularized subspace Newton for non-convex optimization Jim Zhao, Aurélien Lucchi, N. Doikov 2024-06-24 ArXiv 0 39
visibility_off ElastoGen: 4D Generative Elastodynamics Yutao Feng, Yintong Shang, Xiang Feng, Lei Lan, Shandian Zhe, Tianjia Shao, Hongzhi Wu, Kun Zhou, Hao Su, Chenfanfu Jiang, Yin Yang 2024-05-23 ArXiv 1 21
visibility_off Co-evolutionary dynamics for two adaptively coupled Theta neurons Felix Augustsson, E. A. Martens 2024-07-01 ArXiv 0 21
visibility_off Higher order approximation of nonlinear SPDEs with additive space-time white noise Ana Djurdjevac, M'at'e Gerencs'er, Helena Kremp 2024-06-05 ArXiv 0 4
visibility_off Functional Control of Network Dynamical Systems: An Information Theoretic Approach Moirangthem Sailash Singh, R. Pasumarthy, Umesh Vaidya, Steffen Leonhardt 2024-06-17 bioRxiv 0 14
visibility_off A generalized neural tangent kernel for surrogate gradient learning Luke Eilers, Raoul-Martin Memmesheimer, Sven Goedeke 2024-05-24 ArXiv 0 22
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 Rise and Fall of Anderson Localization by Lattice Vibrations: A Time-Dependent Machine Learning Approach Yoel Zimmermann, J. Keski-Rahkonen, A. M. Graf, E. J. Heller 2024-05-27 Entropy 0 4
visibility_off Learnable & Interpretable Model Combination in Dynamic Systems Modeling Tobias Thummerer, Lars Mikelsons 2024-06-12 ArXiv 0 11
visibility_off Latent Neural Operator for Solving Forward and Inverse PDE Problems Tian Wang, Chuang Wang 2024-06-06 ArXiv 0 0
visibility_off Recurrent Stochastic Configuration Networks for Temporal Data Analytics Dianhui Wang, Gang Dang 2024-06-21 ArXiv 0 1
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 Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos 2024-06-01 ArXiv 5 8
visibility_off Learning dynamical models from stochastic trajectories Pierre Ronceray 2024-06-04 ArXiv 0 0
visibility_off Distribution Steering for Discrete-Time Uncertain Ensemble Systems Guangyu Wu, Panagiotis Tsiotras, Anders Lindquist 2024-05-20 ArXiv 0 5
visibility_off An Intrinsic Vector Heat Network Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming C. Lin, Hsueh-Ti Derek Liu 2024-06-14 ArXiv 0 29
visibility_off Learning Regularities from Data using Spiking Functions: A Theory Canlin Zhang, Xiuwen Liu 2024-05-19 ArXiv 0 4
visibility_off A Generative Approach to Control Complex Physical Systems Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu 2024-07-09 ArXiv 0 1
visibility_off Online Training of Hopfield Networks using Predictive Coding Ehsan Ganjidoost, Mallory A. Snow, Jeff Orchard 2024-06-20 ArXiv 0 0
visibility_off Ergodic optimization for continuous functions on non-Markov shifts Mao Shinoda, Hiroki Takahasi, Kenichiro Yamamoto 2024-06-03 ArXiv 1 1
visibility_off Optimal Reconstruction of Vector Fields from Data for Prediction and Uncertainty Quantification Sean P. McGowan, William S. P. Robertson, Chantelle Blachut, Sanjeeva Balasuriya 2024-06-13 J. Nonlinear Sci. 0 18
visibility_off Flatness-Based Identification of Nonlinear Dynamics Alexander M. Kopp, Lisa Fuchs, Christoph Ament 2024-06-11 2024 32nd Mediterranean Conference on Control and Automation (MED) 0 0
visibility_off Tensor networks enable the calculation of turbulence probability distributions Nikita Gourianov, P. Givi, Dieter Jaksch, Stephen B. Pope 2024-07-12 ArXiv 0 31
visibility_off Extremum Seeking Control for Scalar Maps with Distributed Diffusion PDEs Pedro Henrique Silva Coutinho, Tiago Roux Oliveira, Miroslav Krstic 2024-06-03 ArXiv 0 1
visibility_off Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu 2024-05-27 ArXiv 0 4
visibility_off Learning tensor networks with tensor cross interpolation: new algorithms and libraries Yuriel N'unez Fern'andez, Marc K. Ritter, Matthieu Jeannin, Jheng-Wei Li, Thomas Kloss, Thibaud Louvet, Satoshi Terasaki, O. Parcollet, J. Delft, H. Shinaoka, Xavier Waintal 2024-07-02 ArXiv 0 40
visibility_off Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory I. Kavrakov, Gledson Rodrigo Tondo, Guido Morgenthal 2024-05-21 ArXiv 0 11
visibility_off A physics-constrained and data-driven method for modeling supersonic flow Tong Zhao, Jian An, Yuming Xu, Guoqiang He, Fei Qin 2024-06-01 Physics of Fluids 0 0
visibility_off A multigrid reduction framework for domains with symmetries À. Alsalti-Baldellou, Carlo Janna, Xavier 'Alvarez-Farr'e, F. Trias 2024-07-08 ArXiv 0 28
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 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 Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang 2024-05-21 ArXiv 0 1
visibility_off Oscillations enhance time-series prediction in reservoir computing with feedback Yuji Kawai, Takashi Morita, Jihoon Park, Minoru Asada 2024-06-05 ArXiv 0 7
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 Robust and highly scalable estimation of directional couplings from time-shifted signals Luca Ambrogioni, Louis Rouillard, Demian Wassermann 2024-06-04 ArXiv 0 2
visibility_off Schr\"{o}dinger Bridge with Quadratic State Cost is Exactly Solvable Alexis M. H. Teter, Wenqing Wang, Abhishek Halder 2024-06-01 ArXiv 0 2
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 On Computation of Approximate Solutions to Large-Scale Backstepping Kernel Equations via Continuum Approximation Jukka-Pekka Humaloja, N. Bekiaris-Liberis 2024-06-19 ArXiv 0 31
visibility_off Evolving reservoir computers reveals bidirectional coupling between predictive power and emergent dynamics Hanna M. Tolle, A. Luppi, Anil K. Seth, P. Mediano 2024-06-27 ArXiv 0 25
visibility_off On examining the predictive capabilities of two variants of PINN in validating localised wave solutions in the generalized nonlinear Schr\"{o}dinger equation K. Thulasidharan, N. Sinthuja, N. VishnuPriya, M. Senthilvelan 2024-07-10 ArXiv 0 3
visibility_off Poseidon: Efficient Foundation Models for PDEs Maximilian Herde, Bogdan Raoni'c, Tobias Rohner, R. Käppeli, Roberto Molinaro, Emmanuel de B'ezenac, Siddhartha Mishra 2024-05-29 ArXiv 1 11
visibility_off Entrywise dynamics and universality of general first order methods Qiyang Han 2024-06-27 ArXiv 0 0
visibility_off Development of data-driven modeling method for nonlinear coupling components Taesan Ryu, Seunghun Baek 2024-06-27 Scientific Reports 0 0
visibility_off A meshless method to compute the proper orthogonal decomposition and its variants from scattered data Iacopo Tirelli, M. A. Mendez, A. Ianiro, S. Discetti 2024-07-03 ArXiv 0 24
visibility_off Learning dynamical behaviors in physical systems R. Mandal, Rosalind Huang, Michel Fruchart, P. Moerman, Suriyanarayanan Vaikuntanathan, Arvind Murugan, Vincenzo Vitelli 2024-06-12 ArXiv 0 25
visibility_off Functional Principal Component Analysis for Truncated Data Caitrin Murphy, Eric Laber, Rhonda Merwin, Brian Reich 2024-07-08 ArXiv 0 0
visibility_off SDPRLayers: Certifiable Backpropagation Through Polynomial Optimization Problems in Robotics Connor T. Holmes, F. Dümbgen, Tim D. Barfoot 2024-05-29 ArXiv 0 7
visibility_off A moment-based Kalman filtering approach for estimation in ensemble systems. A. L. P. de Lima, Jr-Shin Li 2024-06-01 Chaos 0 1
visibility_off Proximal Interacting Particle Langevin Algorithms Paula Cordero Encinar, F. R. Crucinio, O. D. Akyildiz 2024-06-20 ArXiv 1 6
visibility_off PhyGICS – A Physics-informed Graph Neural Network-based Intelligent HVAC Controller for Open-plan Spaces S. Nagarathinam, Arunchandar Vasan 2024-05-31 Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems 0 15
visibility_off Characterizing Complex Spatiotemporal Patterns from Entropy Measures Luan O. Barauna, Rubens Andreas Sautter, R. Rosa, E. Rempel, Alejandro C. Frery 2024-06-01 Entropy 0 20
visibility_off Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals Christian Holberg, C. Salvi 2024-05-22 ArXiv 0 12
visibility_off Multivariate extreme values for dynamical systems Romain Aimino, A. C. Freitas, J. Freitas, Mike Todd 2024-06-21 ArXiv 0 19
visibility_off An Accelerated Dual-Integral Structure Zeroing Neural Network Resistant to Linear Noise for Dynamic Complex Matrix Inversion Feixiang Yang, Tinglei Wang, Yun Huang 2024-06-02 Axioms 0 0
visibility_off Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun 2024-06-17 ArXiv 1 11
visibility_off Evolutionary and Sparse Regression Approach for Data-Driven Modelling of an Overhead Crane Dynamics Tom Kusznir, Jarosław Smoczek, Bolesław Karwat 2024-08-01 Advances in Science and Technology Research Journal 0 3
visibility_off Exploiting residual errors in nonlinear online prediction Emirhan Ilhan, Ahmet B. Koc, S. Kozat 2024-05-29 Machine Learning 0 26
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