Symbolic regression

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Manually curated articles on Symbolic regression

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
visibility_off Discovering governing equations from data by sparse identification of nonlinear dynamical systems S. Brunton, J. Proctor, J. Kutz 2015-09-11 Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences of the United States of America 3114 63 open_in_new
visibility_off Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regression Patrick A. K. Reinbold, Logan Kageorge, M. Schatz, R. Grigoriev 2021-02-24 Nature Communications 83 23 open_in_new
visibility_off Data-driven discovery of coordinates and governing equations Kathleen P. Champion, Bethany Lusch, J. Kutz, S. Brunton 2019-03-29 Proceedings of the National Academy of Sciences of the United States of America 589 63 open_in_new
visibility_off Chaos as an intermittently forced linear system S. Brunton, Bingni W. Brunton, J. Proctor, E. Kaiser, J. Kutz 2016-08-18 Nature Communications 439 63 open_in_new
visibility_off Sparse identification of nonlinear dynamics for model predictive control in the low-data limit E. Kaiser, J. Kutz, S. Brunton 2017-11-15 Proceedings. Mathematical, Physical, and Engineering Sciences, Proceedings of the Royal Society A 416 63 open_in_new
visibility_off Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics N. Mangan, S. Brunton, J. Proctor, J. Kutz 2016-05-26 IEEE Transactions on Molecular Biological and Multi-Scale Communications, IEEE Transactions on Molecular, Biological and Multi-Scale Communications 310 63 open_in_new
visibility_off SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics Kadierdan Kaheman, J. Kutz, S. Brunton 2020-04-05 Proceedings. Mathematical, Physical, and Engineering Sciences, Proceedings of the Royal Society A 184 63 open_in_new
visibility_off Multidimensional Approximation of Nonlinear Dynamical Systems Patrick Gelß, Stefan Klus, J. Eisert, Christof Schutte 2018-09-07 Journal of Computational and Nonlinear Dynamics 61 76 open_in_new
visibility_off Learning Discrepancy Models From Experimental Data Kadierdan Kaheman, E. Kaiser, B. Strom, J. Kutz, S. Brunton 2019-09-18 arXiv.org, ArXiv 30 63 open_in_new
visibility_off Discovery of Physics From Data: Universal Laws and Discrepancies Brian M. de Silva, D. Higdon, S. Brunton, J. Kutz 2019-06-19 Frontiers in Artificial Intelligence 66 63 open_in_new
visibility_off Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control Urban Fasel, J. Kutz, Bingni W. Brunton, S. Brunton 2021-11-22 Proceedings. Mathematical, Physical, and Engineering Sciences, Proceedings of the Royal Society A 151 63 open_in_new
visibility_off Learning sparse nonlinear dynamics via mixed-integer optimization D. Bertsimas, Wes Gurnee 2022-06-01 Nonlinear Dynamics 26 90 open_in_new
visibility_off A Unified Framework for Sparse Relaxed Regularized Regression: SR3 P. Zheng, T. Askham, S. Brunton, J. Kutz, A. Aravkin 2018-07-14 IEEE Access 113 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 Minimum Reduced-Order Models via Causal Inference Nan Chen, Honghu Liu 2024-06-29 ArXiv 0 0
visibility_off Discovery of differential equations using sparse state and parameter regression Teddy Meissner, Karl Glasner 2024-06-10 ArXiv 0 0
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 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 Identification of moment equations via data-driven approaches in nonlinear schrodinger models Su Yang, Shaoxuan Chen, Wei Zhu, P. Kevrekidis 2024-06-06 ArXiv 0 7
visibility_off Iterative Sparse Identification of Nonlinear Dynamics Jinho Choi 2024-06-06 ArXiv 0 0
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 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 Sparse identification of quasipotentials via a combined data-driven method Bo Lin, P. Belardinelli 2024-07-06 ArXiv 0 12
visibility_off Data-Driven Linearization of Dynamical Systems George Haller, B. Kasz'as 2024-07-11 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 Development of data-driven modeling method for nonlinear coupling components Taesan Ryu, Seunghun Baek 2024-06-27 Scientific Reports 0 0
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 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 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 Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints Yunjin Tong 2024-06-20 ArXiv 0 0
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 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 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 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 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 Model fusion for efficient learning of nonlinear dynamical systems Vatsal Kedia, Vivek S. Pinnamaraju, Dinesh Patil 2024-06-06 ArXiv 0 2
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 Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning Tobias Nagel, Marco F. Huber 2024-06-28 ArXiv 0 2
visibility_off Promising directions of machine learning for partial differential equations. Steve Brunton, J. Kutz 2024-06-28 Nature computational science 2 1
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 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 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 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 Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine Ionut-Gabriel Farcas, Rayomand P. Gundevia, R. Munipalli, Karen E. Willcox 2024-07-13 ArXiv 0 13
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 Amortized Equation Discovery in Hybrid Dynamical Systems Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, E. Gavves 2024-06-06 ArXiv 0 36
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 Cluster-based Bayesian approach for noisy and sparse data: application to flow-state estimation F. Kaiser, G. Iacobello, D. Rival 2024-06-01 Proceedings of the Royal Society A 0 25
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 On instabilities in neural network-based physics simulators Daniel Floryan 2024-06-18 ArXiv 0 0
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 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 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 Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint) John W. Brooks, Christine M. Greve 2024-05-30 ArXiv 0 0
visibility_off Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions Prabhat Kumar Mishra, J. Paulson, R. Braatz 2024-06-15 ArXiv 0 73
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 Data-driven modeling from biased small training data using periodic orbits Kengo Nakai, Yoshitaka Saiki 2024-07-06 ArXiv 0 4
visibility_off Modeling Unknown Stochastic Dynamical System Subject to External Excitation Yuan Chen, Dongbin Xiu 2024-06-22 ArXiv 0 1
visibility_off Physiology-informed regularization enables training of universal differential equation systems for biological applications Max de Rooij, Balázs Erdős, N. V. van Riel, Shauna D. O’Donovan 2024-06-01 bioRxiv 0 5
visibility_off Limits and Powers of Koopman Learning Matthew J. Colbrook, Igor Mezi'c, Alexei Stepanenko 2024-07-08 ArXiv 0 16
visibility_off Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification Christian Offen 2024-07-10 ArXiv 0 0
visibility_off Learning dynamical models from stochastic trajectories Pierre Ronceray 2024-06-04 ArXiv 0 0
visibility_off Inferring dynamical models from time-series biological data using an interpretable machine learning method based on weighted expression trees Yu Zhou, Xiufen Zou 2024-07-09 Inverse Problems 0 0
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 Data-driven optimal prediction with control Aleksandr Katrutsa, Ivan V. Oseledets, Sergey Utyuzhnikov 2024-06-04 ArXiv 0 4
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 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 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 Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao, Caroline Muller, Francesco Locatello 2024-05-22 ArXiv 0 9
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 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 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 Examining the impact of forcing function inputs on structural identifiability Jessica R Conrad, Marisa C Eisenberg 2024-07-03 ArXiv 0 0
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 Physics-enhanced Neural Operator for Simulating Turbulent Transport Shengyu Chen, P. Givi, Can Zheng, Xiaowei Jia 2024-05-31 ArXiv 0 31
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 Biologically informed NeuralODEs for genome-wide regulatory dynamics Intekhab Hossain, Viola Fanfani, Jonas Fischer, John Quackenbush, R. Burkholz 2024-05-21 Genome Biology 0 13
visibility_off Active search for Bifurcations Y. M. Psarellis, T. Sapsis, I. G. Kevrekidis 2024-06-17 ArXiv 0 37
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 Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning Yuanlin Gu, Hua‐Liang Wei 2024-06-11 2024 32nd Mediterranean Conference on Control and Automation (MED) 0 15
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 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 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 RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos Siettos, A. Yannacopoulos 2024-06-08 ArXiv 0 17
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 Random features approximation for control-affine systems Kimia Kazemian, Yahya Sattar, Sarah Dean 2024-06-10 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 Data-driven model predictive control of battery storage units Johannes B. Lipka, Christian A. Hans 2024-07-06 ArXiv 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 Physics Based&Machine Learning Methods For Uncertainty Estimation In Turbulence Modeling Minghan Chu 2024-07-15 ArXiv 0 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 Global system errors to simultaneously improve the identification of subsystems with mixed data Gaussian process regression Cameron J LaMack, Eric M. Schearer 2024-05-20 Machine Learning: Science and Technology 0 9
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 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 Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data M. Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, M. Dahmen 2024-06-03 ArXiv 0 13
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 Data-Driven Control of Linear Parabolic Systems using Koopman Eigenstructure Assignment Member Ieee Joachim Deutscher 2024-06-29 ArXiv 0 0
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 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 Lagrangian Neural Networks for Reversible Dissipative Evolution V. Sundararaghavan, Megna N. Shah, Jeff P. Simmons 2024-05-23 ArXiv 0 32
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 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 Coupled Stochastic-Statistical Equations for Filtering Multiscale Turbulent Systems Di Qi, Jian-Guo Liu 2024-07-05 ArXiv 0 0
visibility_off Modeling Randomly Observed Spatiotemporal Dynamical Systems V. Iakovlev, Harri Lähdesmäki 2024-06-01 ArXiv 0 2
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 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 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 Gradient matching accelerates mixed-effects inference for biochemical networks Yulan B van Oppen, Andreas Milias-Argeitis 2024-06-12 bioRxiv 0 15
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 Neural Green's Operators for Parametric Partial Differential Equations Hugo Melchers, Joost Prins, Michael Abdelmalik 2024-06-04 ArXiv 1 0
visibility_off Online randomized interpolative decomposition with a posteriori error estimator for temporal PDE data reduction Angran Li, Stephen Becker, Alireza Doostan 2024-05-25 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 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 Godunov Loss Functions for Modelling of Hyperbolic Conservation Laws R. G. Cassia, R. Kerswell 2024-05-19 ArXiv 0 44
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 Neural Data-Enabled Predictive Control Mircea Lazar 2024-06-12 ArXiv 0 1
visibility_off UniFIDES: Universal Fractional Integro-Differential Equation Solvers Milad Saadat, Deepak Mangal, Safa Jamali 2024-07-01 ArXiv 0 6
visibility_off Predictability of weakly turbulent systems from spatially sparse observations using data assimilation and machine learning Vikrant Gupta, Yuanqing Chen, Minping Wan 2024-07-14 ArXiv 0 1
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 Deep Bayesian Filter for Bayes-faithful Data Assimilation Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda 2024-05-29 ArXiv 0 0
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 Physics-Informed Neural Networks Application To Mass-Spring System Solution Martin Muzelak, T. Skovranek, Marek Ruzicka 2024-05-22 2024 25th International Carpathian Control Conference (ICCC) 0 13
visibility_off Adapting Physics-Informed Neural Networks To Optimize ODEs in Mosquito Population Dynamics D. V. Cuong, Branislava Lali'c, Mina Petri'c, Binh Nguyen, M. Roantree 2024-06-07 ArXiv 0 17
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 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 On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed H. Pahlavan, P. Hassanzadeh, M. J. Alexander 2024-07-07 ArXiv 0 24
visibility_off Exponential time differencing for matrix-valued dynamical systems Nayef Shkeir, Tobias Schäfer, T. Grafke 2024-06-19 ArXiv 0 14
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 Generalized Inverse Optimal Control and its Application in Biology J. Banga, Sebastian Sager 2024-05-31 ArXiv 0 54
visibility_off Increasing certainty in systems biology models using Bayesian multimodel inference Nathaniel Linden-Santangeli, Jin Zhang, Boris Kramer, P. Rangamani 2024-06-17 bioRxiv 0 4
visibility_off Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes Valentina Becchetti, Mohab M. H. Atanasious, Danilo Menegatti, Federico Baldisseri, Alessandro Giuseppi 2024-06-11 2024 32nd Mediterranean Conference on Control and Automation (MED) 0 15
visibility_off Transport Map Coupling Filter for State-Parameter Estimation J. Grashorn, M. Broggi, Ludovic Chamoin, Michael Beer 2024-07-02 ArXiv 0 21
visibility_off Deep Koopman Learning using the Noisy Data Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou 2024-05-26 ArXiv 0 3
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 Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy M. Bachmayr, Wolfgang Dahmen, Mathias Oster 2024-05-30 ArXiv 0 17
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 Reconstructing Langevin systems from high and low-resolution time series using Euler and Hermite reconstructions Babak M. S. Arani, Stephen R Carpenter, E. V. van Nes 2024-06-02 bioRxiv 0 48
visibility_off Efficiently Parameterized Neural Metriplectic Systems Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask 2024-05-25 ArXiv 0 2
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 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 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 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 Learning Optimal Filters Using Variational Inference Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew Stuart 2024-06-26 ArXiv 0 9
visibility_off Nonlinear Model Predictive Control with Evolutionary Data-Driven Prediction Model and Particle Swarm Optimization Optimizer for an Overhead Crane Tom Kusznir, Jarosław Smoczek 2024-06-12 Applied Sciences 0 3
visibility_off Graph neural networks informed locally by thermodynamics Alicia Tierz, Ic´ıar Alfaro, David Gonz'alez, Francisco Chinesta, Elías Cueto 2024-05-21 ArXiv 0 13
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 Time-series-analysis-based detection of critical transitions in real-world non-autonomous systems. Klaus Lehnertz 2024-06-07 Chaos 0 0
visibility_off Gaussian process kernels for partial physical insight Matthew R. Jones, D. J. Pitchforth, E. J. Cross 2024-07-01 e-Journal of Nondestructive Testing 0 3
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 Dynamical mixture modeling with fast, automatic determination of Markov chains Christopher E Miles, Robert J. Webber 2024-06-07 ArXiv 0 8
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 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 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 Discovering Differential Equations from Data: A Didactic Approach with Regression Analysis Ch. Ungermanns, G. Pöppel, W. Werth 2024-05-20 2024 47th MIPRO ICT and Electronics Convention (MIPRO) 0 3
visibility_off Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated study E. M. Myklebust, A. Frigessi, Fredrik Schjesvold, J. Foo, K. Leder, Alvaro Kohn-Luque 2024-05-23 ArXiv 0 1
visibility_off Nonlinear time-series embedding by monotone variational inequality Jonathan Y. Zhou, Yao Xie 2024-06-11 ArXiv 0 0
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 Exploration of methods for computing sensitivities in ODE models at dynamic and steady states Polina Lakrisenko, Dilan Pathirana, Daniel Weindl, J. Hasenauer 2024-05-26 ArXiv 0 36
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 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 Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou 2024-06-03 Journal of Applied Mathematics and Computing 0 9
visibility_off Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields Daniel Badawi, Eduardo Gildin 2024-07-13 ArXiv 0 1
visibility_off Dynamic importance learning using fisher information gain for nonlinear system identification V. M. Eivaghi, M. A. Shoorehdeli 2024-06-08 ArXiv 0 24
visibility_off Efficient Multifidelity Uncertainty Propagation in the Presence of Process Noise Alberto Fossà, Roberto Armellin, Emmanuel Delande, F. Sanfedino 2024-05-25 ArXiv 0 4
visibility_off Recurrent Stochastic Configuration Networks for Temporal Data Analytics Dianhui Wang, Gang Dang 2024-06-21 ArXiv 0 1
visibility_off A hybrid FEM-NN optimization method to learn the physics-constrained constitutive relations from full-field data Xinxin Wu Kaiqiang Sun, Shaohua Yang, Huan Wang, Ye Xu, Yin Zhang, Sheng Mao 2024-06-24 ArXiv 0 0
visibility_off Realizability-Informed Machine Learning for Turbulence Anisotropy Mappings R. McConkey, Eugene Yee, F. Lien 2024-06-17 ArXiv 0 36
visibility_off Data-driven approximations of topological insulator systems Justin T. Cole, Michael J. Nameika 2024-07-01 ArXiv 0 0
visibility_off Neural Persistence Dynamics Sebastian Zeng, Florian Graf, M. Uray, Stefan Huber, R. Kwitt 2024-05-24 ArXiv 0 32
visibility_off Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications , Haixia Liu, Hao L'iu 2024-06-01 ArXiv 0 0
visibility_off Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos, P. Koutsourelakis 2024-05-29 ArXiv 0 21
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 Approximate solutions of a general stochastic velocity-jump process subject to discrete-time noisy observations Arianna Ceccarelli, Alexander P. Browning, Ruth E. Baker 2024-06-28 ArXiv 0 0
visibility_off A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu, A. Viardin, Markus Apel, T. Brepols, Stefanie Reese, Shahed Rezaei 2024-05-21 ArXiv 1 18
visibility_off Inference for Delay Differential Equations Using Manifold-Constrained Gaussian Processes Yuxuan Zhao, Samuel W. K. Wong 2024-06-21 ArXiv 0 1
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 Data-Driven Predictive Control and MPC: Do we achieve optimality? Akhil S. Anand, Shambhuraj Sawant, Dirk Reinhardt, Sébastien Gros 2024-05-28 ArXiv 0 3
visibility_off On Entropic Learning from Noisy Time Series in the Small Data Regime Davide Bassetti, Lukáš Pospíšil, I. Horenko 2024-06-28 Entropy 0 26
visibility_off Learnable & Interpretable Model Combination in Dynamic Systems Modeling Tobias Thummerer, Lars Mikelsons 2024-06-12 ArXiv 0 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 Gradients of Functions of Large Matrices Nicholas Krämer, Pablo Moreno-Munoz, Hrittik Roy, Søren Hauberg 2024-05-27 ArXiv 0 8
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 Lattice physics approaches for neural networks G. Bardella, Simone Franchini, P. Pani, S. Ferraina 2024-05-20 ArXiv 0 35
visibility_off Perspectives on computational modeling of biological systems and the significance of the SysMod community B. L. Puniya, Meghna Verma, Chiara Damiani, Shaimaa Bakr, Andreas Dräger 2024-06-26 Bioinformatics Advances 0 11
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 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 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 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 ORTHOGONAL DECOMPOSITION OF STOCHASTIC TRANSPORT EQUATION Stefan Tošić 2024-06-01 Mathematics in Engineering: Theory and Applications 0 0
visibility_off Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers Zhou Hang, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long 2024-05-27 ArXiv 0 20
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 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 Differentiable Programming for Differential Equations: A Review Facundo Sapienza, Jordi Bolibar, Frank Schäfer, Brian Groenke, Avik Pal, Victor Boussange, Patrick Heimbach, Giles Hooker, Fernando P'erez, Per-Olof Persson, Christopher Rackauckas 2024-06-14 ArXiv 0 7
visibility_off Reducing phenotype-structured PDE models of cancer evolution to systems of ODEs: a generalised moment dynamics approach Chiara Villa, P. K. Maini, Alexander P Browning, A. Jenner, Sara Hamis, Tyler Cassidy 2024-06-03 ArXiv 0 26
visibility_off Quadratic Basis Pursuit in Model Updating of Underconstrained Problems Dionisio Bernal, M. D. Ulriksen 2024-06-01 Journal of Physics: Conference Series 0 10
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 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 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 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 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 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 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 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 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 On the estimation rate of Bayesian PINN for inverse problems Yi Sun, Debarghya Mukherjee, Yves Atchadé 2024-06-21 ArXiv 0 7
visibility_off Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie, Naoto Mitsume 2024-05-25 ArXiv 0 0
visibility_off Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence Christopher Koh, Laurent Pagnier, Michael Chertkov 2024-06-05 ArXiv 0 7
visibility_off Modeling of DC-DC Converters with Neural Ordinary Differential Equations Hanchen Ge, Canjun Yuan, Yaofeng Liang, Jinpeng Lei, Zhicong Huang 2024-05-19 2024 IEEE International Symposium on Circuits and Systems (ISCAS) 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 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 Complex harmonics reveal low-dimensional manifolds of critical brain dynamics G. Deco, Y. Perl, M. Kringelbach 2024-06-16 bioRxiv 0 13
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 Refining Potential Energy Surface through Dynamical Properties via Differentiable Molecular Simulation Bin Han, Kuang Yu 2024-06-26 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 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 Prescribed‐time constrained tracking control of a class of 2 × 2 hyperbolic PDE systems with actuator dynamics Yu Xiao, Xiaodong Xu, S. Dubljevic 2024-06-01 International Journal of Robust and Nonlinear Control 0 25
visibility_off DeltaPhi: Learning Physical Trajectory Residual for PDE Solving Xihang Yue, Linchao Zhu, Yi Yang 2024-06-14 ArXiv 0 41
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 Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models Ella Tamir, Arno Solin 2024-06-01 ArXiv 0 2
visibility_off Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations. Idris Bachali Losada, N. Terranova 2024-07-11 CPT: pharmacometrics & systems pharmacology 0 12
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 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 Large sampling intervals for learning and predicting chaotic systems with reservoir computing Qingyan Xie, Zixiang Yan, Hui Zhao, Jian Gao, Jinghua Xiao 2024-06-28 Journal of Physics A: Mathematical and Theoretical 0 1
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 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 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 On the dynamics of convolutional recurrent neural networks near their critical point Aditi Chandra, M. Magnasco 2024-05-22 ArXiv 1 42
visibility_off Optimization Under Uncertainty Using Physics-Based Label-Free Machine Learning Xiaoping Du 2024-05-23 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) 0 0
visibility_off A physics-inspired evolutionary machine learning method: from the Schr\"odinger equation to an orbital-free-DFT kinetic energy functional Juan I Rodríguez, Ulises A Vergara-Beltran 2024-05-28 ArXiv 0 1
visibility_off Self-consistent dynamical models with a finite extent -- IV. Wendland models based on compactly supported radial basis functions Maarten Baes 2024-06-15 ArXiv 0 0
visibility_off Neural Network with Local Converging Input for Unstructured-Grid Computational Fluid Dynamics Weiming Ding, Haoxiang Huang, T. Lee, Yingjie Liu, Vigor Yang 2024-07-01 AIAA Journal 0 1
visibility_off Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations Wei Zhou, Y. F. Xu 2024-07-15 ArXiv 0 2
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 Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit Lineghuan Meng, Chuang Wang 2024-06-11 ArXiv 0 0
visibility_off Predicting grid frequency short-term dynamics with Gaussian processes and sequence modeling Bolin Liu, Maximilian Coblenz, Oliver Grothe 2024-05-31 Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems 0 5
visibility_off Flow field reconstruction from sparse sensor measurements with physics-informed neural networks Mohammad Yasin Hosseini, Yousef Shiri 2024-07-01 Physics of Fluids 0 1
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 Data-driven learning of structure augments quantitative prediction of biological responses Yuanchi Ha, Helena R. Ma, Feilun Wu, Andrea Weiss, Katherine Duncker, Helen Xu, Jia Lu, Max Golovsky, Daniel Reker, Lingchong You 2024-06-01 PLOS Computational Biology 0 8
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 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 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 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 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 Operator learning based on sparse high-dimensional approximation Daniel Potts, Fabian Taubert 2024-06-06 ArXiv 0 1
visibility_off Accounting for observation noise in equation‐free forecasting: The hidden‐Markov S‐map Dylan Esguerra, Stephan B. Munch 2024-07-01 Methods in Ecology and Evolution 0 0
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 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 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 Fast Bayesian Basis Selection for Functional Data Representation with Correlated Errors Ana Carolina da Cruz, Camila P. E. de Souza, P. H. T. O. Sousa 2024-05-31 ArXiv 0 1
visibility_off Accurate and computational efficient estimation with nonlinear statistical models Maximillian Chen, Ryan Allen, Liane Ramac-Thomas, Melissa Strait 2024-06-07 None 0 0
visibility_off An Efficient Approach to Regression Problems with Tensor Neural Networks Yongxin Li 2024-06-14 ArXiv 0 0
visibility_off A variational deep-learning approach to modeling memory T cell dynamics C. V. van Dorp, Joshua I. Gray, Daniel H. Paik, Donna L. Farber, Andrew J. Yates 2024-07-11 bioRxiv 0 10
visibility_off The Internal Model Principle of Time-Varying Optimization G. Bianchin, Bryan Van Scoy 2024-07-10 ArXiv 0 11
visibility_off Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman 2024-06-18 ArXiv 0 5
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 Bayesian Occam’s Razor to Optimize Models for Complex Systems Chenxi Wang, Jihui Zhao, Jingjing Zheng, Barak Raveh, Xuming He, Liping Sun 2024-06-02 bioRxiv 0 9
visibility_off Fluctuations of dynamical observables in linear diffusions with time delay: a Riccati-based approach M. Rosinberg, G. Tarjus, T. Munakata 2024-07-02 ArXiv 1 27
visibility_off Trajectory-based global sensitivity analysis in multiscale models Valentina Bazyleva, Victoria M. Garibay, Debraj Roy 2024-06-17 Scientific Reports 0 0
visibility_off Solving partial differential equations using large-data models: a literature review Abdul Mueed Hafiz, Irfan Faiq, M. Hassaballah 2024-05-24 Artif. Intell. Rev. 0 0
visibility_off SMT based parameter identifiable combination detection for non-linear continuous and hybrid dynamics Devleena Ghosh, C. Mandal 2024-06-07 Formal Aspects of Computing 0 6
visibility_off VS-PINN: A Fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior Seungchan Ko, Sang Hyeon Park 2024-06-10 ArXiv 0 0
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index