PINNs

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Manually curated articles on PINNs

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
visibility_off Solving real-world optimization tasks using physics-informed neural computing J. Seo 2024-01-08 Scientific Reports 4 6 open_in_new
visibility_off Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockade M. Przedborski, Munisha Smalley, S. Thiyagarajan, A. Goldman, M. Kohandel 2021-07-15 Communications Biology 9 28 open_in_new
visibility_off Physics-informed machine learning G. Karniadakis, I. Kevrekidis, Lu Lu, P. Perdikaris, Sifan Wang, Liu Yang 2021-05-24 Nature Reviews Physics 2001 127 open_in_new
visibility_off Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations M. Raissi, P. Perdikaris, G. Karniadakis 2017-11-28 arXiv.org, ArXiv 751 127 open_in_new
visibility_off Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations M. Raissi, P. Perdikaris, G. Karniadakis 2017-11-28 arXiv.org, ArXiv 550 127 open_in_new
visibility_off Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems M. Raissi, P. Perdikaris, G. Karniadakis 2018-01-04 arXiv: Dynamical Systems 254 127 open_in_new
visibility_off Systems biology informed deep learning for inferring parameters and hidden dynamics A. Yazdani, Lu Lu, M. Raissi, G. Karniadakis 2019-12-04 PLoS Computational Biology, bioRxiv 183 127 open_in_new
visibility_off B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang, Xuhui Meng, G. Karniadakis 2020-03-13 Journal of Computational Physics, ArXiv 574 127 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 Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation Yifei Zong, D. Barajas-Solano, A. Tartakovsky 2024-07-05 ArXiv 0 41
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 A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks K. Shukla, Juan Diego Toscano, Zhicheng Wang, Zongren Zou, G. Karniadakis 2024-06-05 ArXiv 4 127
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
visibility_off Physics-informed neural networks for parameter learning of wildfire spreading K. Vogiatzoglou, C. Papadimitriou, V. Bontozoglou, Konstantinos Ampountolas 2024-06-20 ArXiv 0 45
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 Multi-Step Physics-Informed Deep Operator Neural Network for Directly Solving Partial Differential Equations Jing Wang, Yubo Li, Anping Wu, Zheng Chen, Jun Huang, Qingfeng Wang, Feng Liu 2024-06-25 Applied Sciences 0 6
visibility_off Structural damage inverse detection from noisy vibration measurement with physics-informed neural networks Lei Yuan, Yi-Qing Ni, En-Ze Rui, Weijia Zhang 2024-06-01 Journal of Physics: Conference Series 0 2
visibility_off Element-wise Multiplication Based Physics-informed Neural Networks Feilong Jiang, Xiaonan Hou, Min Xia 2024-06-06 ArXiv 0 1
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 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 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 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 Cell-Average Based Neural Network Method for Hunter-Saxton Equations Chunjie Zhang, Changxin Qiu, Xiaofang Zhou and Xiaoming He 2024-01-01 Advances in Applied Mathematics and Mechanics 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 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 Gradient-based adaptive neural network technique for two-dimensional local fractional elliptic PDEs Navnit Jha, Ekansh Mallik 2024-05-24 Physica Scripta 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 Solving Differential Equations using Physics-Informed Deep Equilibrium Models Bruno Machado Pacheco, E. Camponogara 2024-06-05 ArXiv 0 22
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 Error Analysis and Numerical Algorithm for PDE Approximation with Hidden-Layer Concatenated Physics Informed Neural Networks Yianxia Qian, Yongchao Zhang, Suchuan Dong 2024-06-10 ArXiv 0 2
visibility_off Neural Differentiable Modeling with Diffusion-Based Super-resolution for Two-Dimensional Spatiotemporal Turbulence Xiantao Fan, Deepak Akhare, Jian-Xun Wang 2024-06-28 ArXiv 0 1
visibility_off Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN) Chenhao Si, Ming Yan 2024-06-05 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 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 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 Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators Anran Jiao, Qile Yan, Jhn Harlim, Lu Lu 2024-07-07 ArXiv 0 2
visibility_off 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 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 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 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 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 FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames Jiahao Wu, Su Zhang, Yuxin Wu, Guihua Zhang, Xin Li, Hai Zhang 2024-06-07 ArXiv 0 1
visibility_off Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints Yunjin Tong 2024-06-20 ArXiv 0 0
visibility_off Foundation Model for Chemical Process Modeling: Meta-Learning with Physics-Informed Adaptation Zihao Wang, Zhen Wu 2024-05-20 ArXiv 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 Jacobian-Enhanced Neural Networks Steven H. Berguin 2024-06-13 ArXiv 0 5
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 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 Bayesian Entropy Neural Networks for Physics-Aware Prediction R. Rathnakumar, Jiayu Huang, Hao Yan, Yongming Liu 2024-07-01 ArXiv 0 3
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 Pseudo grid-based physics-informed convolutional-recurrent network solving the integrable nonlinear lattice equations Zhenyu Lin, Yong Chen 2024-06-25 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 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 Sparse identification of quasipotentials via a combined data-driven method Bo Lin, P. Belardinelli 2024-07-06 ArXiv 0 12
visibility_off A Short Note on Physics-Guided GAN to Learn Physical Models without Gradients Kazuo Yonekura 2024-06-26 Algorithms 0 12
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 Physics informed cell representations for variational formulation of multiscale problems Yuxiang Gao, Soheil Kolouri, R. Duddu 2024-05-27 ArXiv 0 28
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 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 An Adaptive Sampling Algorithm with Dynamic Iterative Probability Adjustment Incorporating Positional Information Yanbing Liu, Liping Chen, Yu Chen, J. Ding 2024-05-26 Entropy 0 10
visibility_off Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch 2024-05-22 ArXiv 0 10
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 Combining physics-informed graph neural network and finite difference for solving forward and inverse spatiotemporal PDEs Hao Zhang, Longxiang Jiang, Xinkun Chu, Yong Wen, Luxiong Li, Yonghao Xiao, Liyuan Wang 2024-05-30 ArXiv 0 6
visibility_off Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media Michel Nohra, Steven Dufour 2024-06-06 ArXiv 0 1
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 Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation Madison Cooley, Shandian Zhe, R. Kirby, Varun Shankar 2024-06-04 ArXiv 0 19
visibility_off Stratified Sampling Algorithms for Machine Learning Methods in Solving Two-scale Partial Differential Equations Eddel El'i Ojeda Avil'es, Daniel Olmos-Liceaga, Jae-Hun Jung 2024-05-24 ArXiv 0 4
visibility_off Adaptive Interface-PINNs (AdaI-PINNs): An Efficient Physics-informed Neural Networks Framework for Interface Problems Sumanta Roy, C. Annavarapu, P. Roy, A. K. Sarma 2024-06-07 ArXiv 1 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 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 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 Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems Zhuoyuan Wang, Albert Chern, Yorie Nakahira 2024-07-11 ArXiv 0 10
visibility_off Identification of Physical Properties in Acoustic Tubes Using Physics-Informed Neural Networks Kazuya Yokota, Masataka Ogura, Masajiro Abe 2024-06-17 ArXiv 0 1
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 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 RBF-Assisted Hybrid Neural Network for Solving Partial Differential Equations Ying Li, Wei Gao, Shihui Ying 2024-05-21 Mathematics 0 3
visibility_off Neural Data-Enabled Predictive Control Mircea Lazar 2024-06-12 ArXiv 0 1
visibility_off The capability of a deep learning based ODE solution for low temperature plasma chemistry Bo Yin, Yifei Zhu, Xiancong Chen, Yun Wu 2024-06-01 Physics of Plasmas 0 13
visibility_off A numerical method to solve PDE through PINN based on ODENet Ziyi Wang 2024-06-24 Applied and Computational Engineering 0 0
visibility_off Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud, Erik Schaffernicht, J. A. Stork 2024-06-05 ArXiv 0 19
visibility_off Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks Wenqian Chen, Amanda Howard, P. Stinis 2024-06-28 ArXiv 0 12
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 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 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 GPINN with Neural Tangent Kernel Technique for Nonlinear Two Point Boundary Value Problems Navnit Jha, Ekansh Mallik 2024-05-31 Neural Process. Lett. 0 0
visibility_off RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long 2024-05-23 ArXiv 0 65
visibility_off Discovery of differential equations using sparse state and parameter regression Teddy Meissner, Karl Glasner 2024-06-10 ArXiv 0 0
visibility_off Self-supervised Pretraining for Partial Differential Equations Varun Madhavan, Amal S Sebastian, Bharath Ramsundar, Venkat Viswanathan 2024-07-03 ArXiv 0 19
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 Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines Sriram Nagaraj, Truman Hickok 2024-06-21 ArXiv 0 0
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 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 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 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 Deep Bayesian Filter for Bayes-faithful Data Assimilation Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda 2024-05-29 ArXiv 0 0
visibility_off fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions A. Aghaei 2024-06-11 ArXiv 4 4
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 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 Solving Partial Differential Equations in Different Domains by Operator Learning method Based on Boundary Integral Equations Bin Meng, Yutong Lu, Ying Jiang 2024-06-04 ArXiv 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 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 An Efficient Approach to Regression Problems with Tensor Neural Networks Yongxin Li 2024-06-14 ArXiv 0 0
visibility_off Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems Matteo Calafa, Emil Hovad, A. Engsig-Karup, T. Andriollo 2024-07-01 ArXiv 0 20
visibility_off Convolutional neural network based reduced order modeling for multiscale problems Xuhan Zhang, Lijian Jiang 2024-06-24 ArXiv 0 0
visibility_off ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, I. Oseledets, Ekaterina A. Muravleva 2024-06-07 ArXiv 0 2
visibility_off DeltaPhi: Learning Physical Trajectory Residual for PDE Solving Xihang Yue, Linchao Zhu, Yi Yang 2024-06-14 ArXiv 0 41
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 Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation Zhiqiang Cai, Yu Cao, Yuanfei Huang, Xiang Zhou 2024-05-29 ArXiv 0 1
visibility_off Spatio-temporal Attention-based Hidden Physics-informed Neural Network for Remaining Useful Life Prediction Feilong Jiang, Xiaonan Hou, Min Xia 2024-05-20 ArXiv 0 1
visibility_off Solving Bivariate Kinetic Equations for Polymer Diffusion Using Deep Learning Heng Wang null, Weihua Deng 2024-06-01 Journal of Machine Learning 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 Unambiguous Models and Machine Learning Strategies for Anomalous Extreme Events in Turbulent Dynamical System D. Qi 2024-06-01 Entropy 0 13
visibility_off Learning the Hodgkin-Huxley Model with Operator Learning Techniques Edoardo Centofanti, Massimiliano Ghiotto, L. Pavarino 2024-06-04 ArXiv 0 20
visibility_off Probabilistic Bayesian Neural Networks for Efficient Inference Mohammed Alawad, Md Ishak 2024-06-12 Proceedings of the Great Lakes Symposium on VLSI 2024 0 0
visibility_off Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms Anna Ivagnes, G. Stabile, G. Rozza 2024-06-06 ArXiv 0 49
visibility_off Physics-Informed Online Learning for Temperature Prediction in Metal AM Pouyan Sajadi, M. Rahmani Dehaghani, Yifan Tang, G. G. Wang 2024-07-01 Materials 0 2
visibility_off Introducing a Physics-informed Deep Learning Framework for Bridge Scour Prediction N. Yousefpour, Bo Wang 2024-07-01 ArXiv 0 6
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 Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks Felix Dangel, Johannes Müller, Marius Zeinhofer 2024-05-24 ArXiv 0 6
visibility_off Solving Poisson Equations using Neural Walk-on-Spheres Hong Chul Nam, Julius Berner, A. Anandkumar 2024-06-05 ArXiv 2 5
visibility_off Spatial acoustic properties recovery with deep learning. Ruixian Liu, Peter Gerstoft 2024-06-01 The Journal of the Acoustical Society of America 0 4
visibility_off Godunov Loss Functions for Modelling of Hyperbolic Conservation Laws R. G. Cassia, R. Kerswell 2024-05-19 ArXiv 0 44
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 Enhancing neural operator learning with invariants to simultaneously learn various physical mechanisms Siran Li, Chong Liu, Hao Ni 2024-06-06 National Science Review 0 1
visibility_off PINNs-MPF: A Physics-Informed Neural Network Framework for Multi-Phase-Field Simulation of Interface Dynamics Seifallah Elfetni, R. D. Kamachali 2024-07-02 ArXiv 0 14
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 Application of Neural Networks to Solve the Dirichlet Problem for Areas of Complex Sh. A. Galaburdin 2024-07-05 Computational Mathematics and Information Technologies 0 0
visibility_off Meshfree Variational Physics Informed Neural Networks (MF-VPINN): an adaptive training strategy S. Berrone, Moreno Pintore 2024-06-28 ArXiv 0 23
visibility_off A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems Chang-Ock Lee, Youngkyu Lee, Byungeun Ryoo 2024-06-22 ArXiv 0 0
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 Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method Yuling Jiao, Yanming Lai, Yang Wang 2024-05-19 ArXiv 0 6
visibility_off Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie, Naoto Mitsume 2024-05-25 ArXiv 0 0
visibility_off Symplectic Methods in Deep Learning S. Maslovskaya, S. Ober-Blöbaum 2024-06-06 ArXiv 0 22
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 SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks John Anticev, Ali Aghdaei, Wuxinlin Cheng, Zhuo Feng 2024-07-10 ArXiv 0 2
visibility_off Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks Xuanle Zhao, Yue Sun, Tielin Zhang, Bo Xu 2024-05-23 ArXiv 0 15
visibility_off Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning Jae Yong Lee, Yeoneung Kim 2024-06-16 ArXiv 1 5
visibility_off Paired Autoencoders for Inverse Problems Matthias Chung, Emma Hart, Julianne Chung, B. Peters, Eldad Haber 2024-05-21 ArXiv 0 13
visibility_off Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification Christian Offen 2024-07-10 ArXiv 0 0
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 Uncertainty Quantification for Deep Learning Peter Jan van Leeuwen, J. C. Chiu, C. Yang 2024-05-31 ArXiv 0 2
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 Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks Matan Goren, Eran Treister 2024-05-27 ArXiv 0 15
visibility_off Variational Quantum Framework for Partial Differential Equation Constrained Optimization Amit Surana, Abeynaya Gnanasekaran 2024-05-26 ArXiv 0 4
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 Lagrangian Neural Networks for Reversible Dissipative Evolution V. Sundararaghavan, Megna N. Shah, Jeff P. Simmons 2024-05-23 ArXiv 0 32
visibility_off Convergence of Implicit Gradient Descent for Training Two-Layer Physics-Informed Neural Networks Xianliang Xu, Zhongyi Huang, Ye Li 2024-07-03 ArXiv 0 1
visibility_off Magnetic Hysteresis Modeling with Neural Operators Abhishek Chandra, B. Daniels, M. Curti, K. Tiels, E. Lomonova 2024-07-03 ArXiv 0 24
visibility_off Advection Augmented Convolutional Neural Networks N. Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof 2024-06-27 ArXiv 0 6
visibility_off Space-Time Continuous PDE Forecasting using Equivariant Neural Fields David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, J. Sonke, E. Gavves, E. J. Bekkers 2024-06-10 ArXiv 1 56
visibility_off 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 Astral: training physics-informed neural networks with error majorants V. Fanaskov, Tianchi Yu, Alexander Rudikov, I. Oseledets 2024-06-04 ArXiv 0 3
visibility_off Deep learning in data science: Theoretical foundations, practical applications, and comparative analysis Yingxuan Chai, Liangning Jin 2024-06-21 Applied and Computational Engineering 0 0
visibility_off Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, Mathias Niepert 2024-06-06 ArXiv 1 2
visibility_off A Priori Estimation of the Approximation, Optimization and Generalization Error of Random Neural Networks for Solving Partial Differential Equations Xianliang Xu, Zhongyi Huang 2024-06-05 ArXiv 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 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 A Deep-Learning-Based Reservoir Surrogate for Performance Forecast and Nonlinearly Constrained Life-Cycle Production Optimization Under Geological Uncertainty Q. Nguyen, Mustafa Onur 2024-06-26 Day 3 Fri, June 28, 2024 0 4
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 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 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 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 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 Gradient matching accelerates mixed-effects inference for biochemical networks Yulan B van Oppen, Andreas Milias-Argeitis 2024-06-12 bioRxiv 0 15
visibility_off Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulence Prediction Zhiming Zhang, Shangce Gao, Mengchu Zhou, Mengtao Yan, Shuyang Cao 2024-06-01 IEEE/CAA Journal of Automatica Sinica 0 14
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 Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone Christophe Bonneville, N. Bieberdorf, Arun Hegde, Mark Asta, H. Najm, Laurent Capolungo, C. Safta 2024-06-24 ArXiv 0 44
visibility_off Realizability-Informed Machine Learning for Turbulence Anisotropy Mappings R. McConkey, Eugene Yee, F. Lien 2024-06-17 ArXiv 0 36
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 A generalized neural tangent kernel for surrogate gradient learning Luke Eilers, Raoul-Martin Memmesheimer, Sven Goedeke 2024-05-24 ArXiv 0 22
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 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 Comparing AI versus Optimization Workflows for Simulation-Based Inference of Spatial-Stochastic Systems Michael A. Ramirez-Sierra, T. Sokolowski 2024-07-15 ArXiv 0 7
visibility_off Graph Structure Learning with Interpretable Bayesian Neural Networks Max Wasserman, Gonzalo Mateos 2024-06-20 ArXiv 0 3
visibility_off Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations Shi Yan, Yan Liang, Huayu Zhang, Le Zheng, Difan Zou, Binglu Wang 2024-06-17 ArXiv 0 3
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 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 Modeling Power-Bus Structures with Physics-Informed Neural Networks Kazuhiro Fujita 2024-05-20 2024 IEEE Joint International Symposium on Electromagnetic Compatibility, Signal & Power Integrity: EMC Japan / Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Japan/APEMC Okinawa) 0 0
visibility_off Learning Diffusion at Lightspeed Antonio Terpin, Nicolas Lanzetti, Florian Dörfler 2024-06-18 ArXiv 0 10
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 Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis. Soumya Dutta, Faheem Nizar, Ahmad Amaan, Ayan Acharya 2024-05-22 IEEE transactions on visualization and computer graphics 0 0
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 Ensemble and Mixture-of-Experts DeepONets For Operator Learning Ramansh Sharma, Varun Shankar 2024-05-20 ArXiv 0 2
visibility_off Negative order Sobolev cubatures: preconditioners of partial differential equation learning tasks circumventing numerical stiffness Juan-Esteban Suarez Cardona, Phil-Alexander Hofmann, Michael Hecht 2024-07-12 Machine Learning: Science and Technology 0 1
visibility_off Strategies for Pretraining Neural Operators Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, A. Farimani 2024-06-12 ArXiv 0 33
visibility_off An improved physical information network for forecasting the motion response of ice floes under waves Xiao Peng, Chunhui Wang, Guihua Xia, Fenglei Han, Zhuoyan Liu, Wangyuan Zhao, Jianfeng Yang, Qi Lin 2024-07-01 Physics of Fluids 0 7
visibility_off Removing 65 Years of Approximation in Rotating Ring Disk Electrode Theory with Physics-Informed Neural Networks Haotian Chen, Bedřich Smetana, V. Novák, Yuanmin Zhang, S. Sokolov, Enno Kätelhön, Zhiyao Luo, Mingcheng Zhu, Richard G. Compton 2024-06-10 The Journal of Physical Chemistry Letters 0 24
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 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 Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers Guglielmo Gattiglio, Lyudmila Grigoryeva, M. Tamborrino 2024-05-20 ArXiv 0 11
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 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 Rényi Neural Processes Xuesong Wang, He Zhao, Edwin V. Bonilla 2024-05-25 ArXiv 0 2
visibility_off Differential Transform Method and Neural Network for Solving Variational Calculus Problems R. Brociek, M. Pleszczyński 2024-07-11 Mathematics 0 9
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 On instabilities in neural network-based physics simulators Daniel Floryan 2024-06-18 ArXiv 0 0
visibility_off Minimum Reduced-Order Models via Causal Inference Nan Chen, Honghu Liu 2024-06-29 ArXiv 0 0
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 Bayesian Inference with Deep Weakly Nonlinear Networks Boris Hanin, Alexander Zlokapa 2024-05-26 ArXiv 0 10
visibility_off Asymptotic generalization errors in the online learning of random feature models Roman Worschech, Bernd Rosenow 2024-06-03 Physical Review Research 0 1
visibility_off On the generalization discrepancy of spatiotemporal dynamics-informed graph convolutional networks Yue Sun, Chao Chen, Yuesheng Xu, Sihong Xie, Rick S. Blum, Parv Venkitasubramaniam 2024-07-12 Frontiers in Mechanical Engineering 0 1
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 Enhancing Bayesian model updating in structural health monitoring via learnable mappings Matteo Torzoni, Andrea Manzoni, Stefano Mariani 2024-05-22 ArXiv 0 6
visibility_off Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video Xiangming Zhu, Huayu Deng, Haochen Yuan, Yunbo Wang, Xiaokang Yang 2024-06-18 ArXiv 0 6
visibility_off Deep Learning Surrogate Models for Network Simulation M. Dearing 2024-06-24 Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation 0 3
visibility_off APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation Zhitao Zhu, Chuanfu Xiao, Keju Tang, Jizu Huang, Chao Yang 2024-05-21 ArXiv 0 7
visibility_off Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios. Hong Shen Wong, Wei Xuan Chan, Bing Huan Li, C. Yap 2024-05-21 Scientific reports 0 24
visibility_off Lattice physics approaches for neural networks G. Bardella, Simone Franchini, P. Pani, S. Ferraina 2024-05-20 ArXiv 0 35
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 Temporal Convolution Derived Multi-Layered Reservoir Computing Johannes Viehweg, Dominik Walther, Prof. Dr.-Ing. Patrick Mader 2024-07-09 ArXiv 0 2
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 A novel machine learning framework informed by the fractional calculus dynamic model of hybrid glass/jute woven composite Xiaomeng Wang, Michal Petrů 2024-06-15 Journal of Applied Polymer Science 0 0
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 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 Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman 2024-06-18 ArXiv 0 5
visibility_off Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles Nick Hauptvogel, Christian Igel 2024-06-08 ArXiv 0 0
visibility_off Deep Koopman Learning using the Noisy Data Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou 2024-05-26 ArXiv 0 3
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 DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun 2024-05-27 ArXiv 0 7
visibility_off Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias Honam Wong, Wendao Wu, Fanghui Liu, Yiping Lu 2024-06-13 ArXiv 0 0
visibility_off Dataset-learning duality and emergent criticality Ekaterina Kukleva, V. Vanchurin 2024-05-27 ArXiv 0 19
visibility_off Investigating embedded data distribution strategy on reconstruction accuracy of flow field around the crosswind-affected train based on physics-informed neural networks Guangqing Zeng, Zhengwei Chen, Yi-Qing Ni, En-Ze Rui 2024-05-28 International Journal of Numerical Methods for Heat & Fluid Flow 0 3
visibility_off Probing the effects of broken symmetries in machine learning Marcel F. Langer, S. Pozdnyakov, Michele Ceriotti 2024-06-25 ArXiv 0 9
visibility_off 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 A Best-Fitting B-Spline Neural Network Approach to the Prediction of Advection–Diffusion Physical Fields with Absorption and Source Terms Xuedong Zhu, Jianhua Liu, Xiaohui Ao, Sen He, Lei Tao, Feng Gao 2024-07-04 Entropy 0 6
visibility_off Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties Ning Liu, S. Jafarzadeh, B. Lattimer, Shuna Ni, Jim Lua, Yue Yu 2024-07-03 ArXiv 0 30
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 Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu 2024-06-11 ArXiv 0 13
visibility_off An Unconstrained Formulation of Some Constrained Partial Differential Equations and its Application to Finite Neuron Methods Jiwei Jia, Young Ju Lee, Ruitong Shan 2024-05-27 ArXiv 0 0
visibility_off Exploring the dynamics of monkeypox transmission with data-driven methods and a deterministic model Haridas K. Das 2024-05-22 Frontiers in Epidemiology 0 0
visibility_off Precipitation Nowcasting Using Physics Informed Discriminator Generative Models Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Yanbo Wang, R. Imhoff, R. Uijlenhoet, Justin Dauwels 2024-06-14 ArXiv 0 55
visibility_off Fast Iterative Solver For Neural Network Method: II. 1D Diffusion-Reaction Problems And Data Fitting Zhiqiang Cai, Anastassia Doktorova, R. Falgout, C'esar Herrera 2024-07-01 ArXiv 0 37
visibility_off Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning D. Kunin, Allan Ravent'os, Cl'ementine Domin'e, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli 2024-06-10 ArXiv 1 12
visibility_off 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 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 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 Glassy dynamics in deep neural networks: A structural comparison Max Kerr Winter, Liesbeth M. C. Janssen 2024-05-21 ArXiv 0 0
visibility_off Latent Neural Operator for Solving Forward and Inverse PDE Problems Tian Wang, Chuang Wang 2024-06-06 ArXiv 0 0
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 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 Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem Valdes Gonzalo 2024-06-15 ArXiv 0 0
visibility_off Flexible SE(2) graph neural networks with applications to PDE surrogates Maria Bånkestad, Olof Mogren, Aleksis Pirinen 2024-05-30 ArXiv 0 12
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 A non-anticipative learning-optimization framework for solving multi-stage stochastic programs Dogacan Yilmaz, I. E. Büyüktahtakin 2024-07-03 Annals of Operations Research 0 17
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 Dynamical Mean-Field Theory of Self-Attention Neural Networks 'Angel Poc-L'opez, Miguel Aguilera 2024-06-11 ArXiv 0 0
visibility_off Unsteady flow-field forecasting leveraging a hybrid deep-learning architecture Chunyu Guo, Yonghao Wang, Yang Han, Minglei Ji, Yanyuan Wu 2024-06-01 Physics of Fluids 0 5
visibility_off Accelerating wavepacket propagation with machine learning Kanishka Singh, Ka Hei Lee, Daniel Peláez, A. Bande 2024-06-21 Journal of Computational Chemistry 0 12
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 Calibration of stochastic, agent-based neuron growth models with Approximate Bayesian Computation Tobias Duswald, Lukas Breitwieser, Thomas Thorne, Barbara Wohlmuth, Roman Bauer 2024-05-22 ArXiv 0 5
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 Recurrent Stochastic Configuration Networks for Temporal Data Analytics Dianhui Wang, Gang Dang 2024-06-21 ArXiv 0 1
visibility_off Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su 2024-05-27 ArXiv 1 12
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 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 Deep Learning without Weight Symmetry Ji-An Li, M. Benna 2024-05-31 ArXiv 0 14
visibility_off An Empirical Investigation on Variational Autoencoder-Based Dynamic Modeling of Deformable Objects from RGB Data Tomás Coleman, R. Babuška, Jens Kober, C. D. Santina 2024-06-11 2024 32nd Mediterranean Conference on Control and Automation (MED) 0 20
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