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v1v2 (latest)

Characterizing possible failure modes in physics-informed neural networks

2 September 2021

Aditi S. Krishnapriyan

Papers citing "Characterizing possible failure modes in physics-informed neural networks"

50 / 257 papers shown

Title
Efficient Error Certification for Physics-Informed Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Francisco Eiras Adel Bibi Rudy Bunel Krishnamurthy Dvijotham Juil Sock M. P. Kumar PINN 259 3 0 17 May 2023
Physics Informed Token Transformer for Solving Partial Differential Equations Cooper Lorsung Zijie Li Amir Barati Farimani AI4CE 366 24 0 15 May 2023
$Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields$ Toward $L_\infty$ -recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random FieldsAnnual Conference Computational Learning Theory (COLT), 2023 Kefan Dong Tengyu Ma 291 4 0 29 Apr 2023
MINN: Learning the dynamics of differential-algebraic equations and application to battery modelingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yicun Huang Changfu Zou Yongqian Li T. Wik PINN 220 25 0 27 Apr 2023
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations Ayoub Farkane Mounir Ghogho M. Oudani M. Boutayeb PINN 156 5 0 07 Apr 2023
Probing optimisation in physics-informed neural networks Nayara Fonseca V. Guidetti Will Trojak 133 1 0 27 Mar 2023
Error Analysis of Physics-Informed Neural Networks for Approximating Dynamic PDEs of Second Order in Time Y. Qian Yongchao Zhang Yuanfei Huang S. Dong PINN 173 3 0 22 Mar 2023
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training B.-L. Lu Christian Moya Guang Lin PINN 192 22 0 03 Mar 2023
Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performanceSocial Science Research Network (SSRN), 2023 Panos Pantidis Habiba Eldababy Christopher Miguel Tagle M. Mobasher 211 26 0 03 Mar 2023
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositionsJournal of Computational Physics (JCP), 2023 Michael Penwarden Ameya Dilip Jagtap Shandian Zhe George Karniadakis Robert M. Kirby PINN AI4CE 230 82 0 28 Feb 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 545 51 0 26 Feb 2023
Achieving High Accuracy with PINNs via Energy Natural GradientsInternational Conference on Machine Learning (ICML), 2023 Johannes Müller Marius Zeinhofer 252 9 0 25 Feb 2023
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach Zhiwei Fang Sizhuang He P. Perdikaris PINN AI4CE 142 13 0 25 Feb 2023
Learning Physical Models that Can Respect Conservation LawsInternational Conference on Machine Learning (ICML), 2023 Derek Hansen Danielle C. Maddix S. Alizadeh Gaurav Gupta Michael W. Mahoney AI4CE 326 60 0 21 Feb 2023
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles R. Maulik Romain Egele Krishnan Raghavan Dali Wang UQCV AI4TS AI4CE 156 8 0 20 Feb 2023
Physics-aware deep learning framework for linear elasticity Anisha Roy Rikhi Bose AI4CE 210 9 0 19 Feb 2023
On the Generalization of PINNs outside the training domain and the Hyperparameters influencing it Andrea Bonfanti Roberto Santana M. Ellero Babak Gholami AI4CE PINN 251 15 0 15 Feb 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic RepresentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Rui Zhang Qi Meng Rongchan Zhu Yue Wang Wenlei Shi Shihua Zhang Zhi-Ming Ma Tie-Yan Liu DiffM AI4CE 680 11 0 10 Feb 2023
Can Physics-Informed Neural Networks beat the Finite Element Method?IMA Journal of Applied Mathematics (IMA J. Appl. Math.), 2023 T. G. Grossmann Urszula Julia Komorowska J. Latz Carola-Bibiane Schönlieb PINN AI4CE 247 150 0 08 Feb 2023
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulationCommunication on Applied Mathematics and Computation (CAMC), 2023 Zhi-Hao Gao Tao Tang Liang Yan Tao Zhou 218 27 0 03 Feb 2023
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning Hrishikesh Viswanath Md Ashiqur Rahman Abhijeet Vyas Andrey Shor Beatriz Medeiros Stephanie Hernandez S. Prameela Aniket Bera PINN AI4CE 264 7 0 30 Jan 2023
Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems U. Braga-Neto PINN AI4CE 187 8 0 28 Dec 2022
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results Nicholas Sung Jian Cheng Wong C. Ooi Abhishek Gupta P. Chiu Yew-Soon Ong PINN 143 10 0 15 Dec 2022
Guiding continuous operator learning through Physics-based boundary constraintsInternational Conference on Learning Representations (ICLR), 2022 Nadim Saad Gaurav Gupta S. Alizadeh Danielle C. Maddix AI4CE 213 26 0 14 Dec 2022
Harmonic (Quantum) Neural Networks Atiyo Ghosh Antonio A. Gentile M. Dagrada Chul Lee S. Kim Hyukgeun Cha Yunjun Choi Brad Kim J. Kye V. Elfving AI4CE 168 2 0 14 Dec 2022
AutoPINN: When AutoML Meets Physics-Informed Neural Networks Xinle Wu Dalin Zhang Miao Zhang Chenjuan Guo Shuai Zhao Yi Zhang Huai Wang B. Yang PINN 91 4 0 08 Dec 2022
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of WildfiresSpatial Statistics (Spatial Stat.), 2022 J. Dabrowski D. Pagendam J. Hilton Conrad Sanderson Dan MacKinlay C. Huston Andrew Bolt Petra Kuhnert PINN 220 28 0 02 Dec 2022
VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations Bin Shan Ye Li Sheng-Jun Huang PINN 161 7 0 30 Nov 2022
FC-PINO: High Precision Physics-Informed Neural Operators via Fourier Continuation Ha Maust Zong-Yi Li Valentin Duruisseaux Daniel Leibovici Yixuan Wang Daniel Leibovici O. Bruno Thomas Y. Hou Anima Anandkumar AI4CE 160 11 0 29 Nov 2022
Physics-informed Neural Networks with Unknown Measurement NoiseConference on Learning for Dynamics & Control (L4DC), 2022 Philipp Pilar Niklas Wahlström PINN 346 12 0 28 Nov 2022
Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs Robert Joseph George Jiawei Zhao Jean Kossaifi Zong-Yi Li Anima Anandkumar AI4CE 236 20 0 28 Nov 2022
Neural DAEs: Constrained neural networks Tue Boesen E. Haber Uri M. Ascher 302 3 0 25 Nov 2022
Design of Turing Systems with Physics-Informed Neural NetworksIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022 J. Kho W. Koh Jian Cheng Wong P. Chiu C. Ooi DiffM AI4CE 112 4 0 24 Nov 2022
Neural tangent kernel analysis of PINN for advection-diffusion equation M. Saadat B. Gjorgiev L. Das G. Sansavini 166 2 0 21 Nov 2022
A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training Marcus Münzer C. Bard 129 6 0 21 Nov 2022
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks Junwoo Cho Seungtae Nam Hyunmo Yang S. Yun Youngjoon Hong Eunbyung Park PINN AI4CE 214 12 0 16 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 310 146 0 15 Nov 2022
First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces M. Mattheakis G. R. Schleder Daniel T. Larson E. Kaxiras 147 5 0 08 Nov 2022
A Deep Double Ritz Method (D $^2$ RM) for solving Partial Differential Equations using Neural NetworksComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 C. Uriarte David Pardo I. Muga J. Muñoz‐Matute 224 21 0 07 Nov 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantificationNeural Information Processing Systems (NeurIPS), 2022 Ruoxi Jiang Rebecca Willett 135 6 0 03 Nov 2022
Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics Indu Kant Deo Rui Gao R. Jaiman AI4CE 85 0 0 01 Nov 2022
Neuro-symbolic partial differential equation solver Pouria A. Mistani Samira Pakravan Rajesh Ilango S. Choudhry Frédéric Gibou 134 1 0 25 Oct 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuitiesJournal of Computational Physics (JCP), 2022 Pouria A. Mistani Samira Pakravan Rajesh Ilango Frédéric Gibou 217 13 0 25 Oct 2022
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domainComputer Physics Communications (CPC), 2022 Pu Ren Chengping Rao Su Chen Jian-Xun Wang Hao Sun Yang Liu 374 61 0 25 Oct 2022
Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction ProblemsEast Asian Journal on Applied Mathematics (EAJAM), 2022 Yufeng Wang Cong Xu Min Yang Jin Zhang 155 9 0 23 Oct 2022
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural NetworksInternational Conference on Machine Learning (ICML), 2022 Shibo Li Michael Penwarden Yiming Xu Conor Tillinghast Akil Narayan Robert M. Kirby Shandian Zhe AI4CE 205 6 0 23 Oct 2022
Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural Networks on Coupled Ordinary Differential EquationsAnnual Conference on Information Sciences and Systems (CISS), 2022 Alexander New B. Eng A. Timm A. Gearhart 117 6 0 14 Oct 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine LearningNeural Information Processing Systems (NeurIPS), 2022 M. Takamoto T. Praditia Raphael Leiteritz Dan MacKinlay Francesco Alesiani Dirk Pflüger Mathias Niepert AI4CE 457 321 0 13 Oct 2022
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEsNeural Information Processing Systems (NeurIPS), 2022 Songming Liu Zhongkai Hao Chengyang Ying Hang Su Jun Zhu Ze Cheng AI4CE 272 25 0 06 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discoveryNeural Information Processing Systems (NeurIPS), 2022 Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 296 10 0 04 Oct 2022

v1v2 (latest)

Characterizing possible failure modes in physics-informed neural networks

2 September 2021

Aditi S. Krishnapriyan

Papers citing "Characterizing possible failure modes in physics-informed neural networks"

50 / 257 papers shown

Title
Efficient Error Certification for Physics-Informed Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Francisco Eiras Adel Bibi Rudy Bunel Krishnamurthy Dvijotham Juil Sock M. P. Kumar PINN 259 3 0 17 May 2023
Physics Informed Token Transformer for Solving Partial Differential Equations Cooper Lorsung Zijie Li Amir Barati Farimani AI4CE 366 24 0 15 May 2023
$Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields$ Toward $L_\infty$ -recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random FieldsAnnual Conference Computational Learning Theory (COLT), 2023 Kefan Dong Tengyu Ma 291 4 0 29 Apr 2023
MINN: Learning the dynamics of differential-algebraic equations and application to battery modelingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yicun Huang Changfu Zou Yongqian Li T. Wik PINN 220 25 0 27 Apr 2023
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations Ayoub Farkane Mounir Ghogho M. Oudani M. Boutayeb PINN 156 5 0 07 Apr 2023
Probing optimisation in physics-informed neural networks Nayara Fonseca V. Guidetti Will Trojak 133 1 0 27 Mar 2023
Error Analysis of Physics-Informed Neural Networks for Approximating Dynamic PDEs of Second Order in Time Y. Qian Yongchao Zhang Yuanfei Huang S. Dong PINN 173 3 0 22 Mar 2023
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training B.-L. Lu Christian Moya Guang Lin PINN 192 22 0 03 Mar 2023
Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performanceSocial Science Research Network (SSRN), 2023 Panos Pantidis Habiba Eldababy Christopher Miguel Tagle M. Mobasher 211 26 0 03 Mar 2023
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositionsJournal of Computational Physics (JCP), 2023 Michael Penwarden Ameya Dilip Jagtap Shandian Zhe George Karniadakis Robert M. Kirby PINN AI4CE 230 82 0 28 Feb 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 545 51 0 26 Feb 2023
Achieving High Accuracy with PINNs via Energy Natural GradientsInternational Conference on Machine Learning (ICML), 2023 Johannes Müller Marius Zeinhofer 252 9 0 25 Feb 2023
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach Zhiwei Fang Sizhuang He P. Perdikaris PINN AI4CE 142 13 0 25 Feb 2023
Learning Physical Models that Can Respect Conservation LawsInternational Conference on Machine Learning (ICML), 2023 Derek Hansen Danielle C. Maddix S. Alizadeh Gaurav Gupta Michael W. Mahoney AI4CE 326 60 0 21 Feb 2023
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles R. Maulik Romain Egele Krishnan Raghavan Dali Wang UQCV AI4TS AI4CE 156 8 0 20 Feb 2023
Physics-aware deep learning framework for linear elasticity Anisha Roy Rikhi Bose AI4CE 210 9 0 19 Feb 2023
On the Generalization of PINNs outside the training domain and the Hyperparameters influencing it Andrea Bonfanti Roberto Santana M. Ellero Babak Gholami AI4CE PINN 251 15 0 15 Feb 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic RepresentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Rui Zhang Qi Meng Rongchan Zhu Yue Wang Wenlei Shi Shihua Zhang Zhi-Ming Ma Tie-Yan Liu DiffM AI4CE 680 11 0 10 Feb 2023
Can Physics-Informed Neural Networks beat the Finite Element Method?IMA Journal of Applied Mathematics (IMA J. Appl. Math.), 2023 T. G. Grossmann Urszula Julia Komorowska J. Latz Carola-Bibiane Schönlieb PINN AI4CE 247 150 0 08 Feb 2023
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulationCommunication on Applied Mathematics and Computation (CAMC), 2023 Zhi-Hao Gao Tao Tang Liang Yan Tao Zhou 218 27 0 03 Feb 2023
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning Hrishikesh Viswanath Md Ashiqur Rahman Abhijeet Vyas Andrey Shor Beatriz Medeiros Stephanie Hernandez S. Prameela Aniket Bera PINN AI4CE 264 7 0 30 Jan 2023
Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems U. Braga-Neto PINN AI4CE 187 8 0 28 Dec 2022
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results Nicholas Sung Jian Cheng Wong C. Ooi Abhishek Gupta P. Chiu Yew-Soon Ong PINN 143 10 0 15 Dec 2022
Guiding continuous operator learning through Physics-based boundary constraintsInternational Conference on Learning Representations (ICLR), 2022 Nadim Saad Gaurav Gupta S. Alizadeh Danielle C. Maddix AI4CE 213 26 0 14 Dec 2022
Harmonic (Quantum) Neural Networks Atiyo Ghosh Antonio A. Gentile M. Dagrada Chul Lee S. Kim Hyukgeun Cha Yunjun Choi Brad Kim J. Kye V. Elfving AI4CE 168 2 0 14 Dec 2022
AutoPINN: When AutoML Meets Physics-Informed Neural Networks Xinle Wu Dalin Zhang Miao Zhang Chenjuan Guo Shuai Zhao Yi Zhang Huai Wang B. Yang PINN 91 4 0 08 Dec 2022
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of WildfiresSpatial Statistics (Spatial Stat.), 2022 J. Dabrowski D. Pagendam J. Hilton Conrad Sanderson Dan MacKinlay C. Huston Andrew Bolt Petra Kuhnert PINN 220 28 0 02 Dec 2022
VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations Bin Shan Ye Li Sheng-Jun Huang PINN 161 7 0 30 Nov 2022
FC-PINO: High Precision Physics-Informed Neural Operators via Fourier Continuation Ha Maust Zong-Yi Li Valentin Duruisseaux Daniel Leibovici Yixuan Wang Daniel Leibovici O. Bruno Thomas Y. Hou Anima Anandkumar AI4CE 160 11 0 29 Nov 2022
Physics-informed Neural Networks with Unknown Measurement NoiseConference on Learning for Dynamics & Control (L4DC), 2022 Philipp Pilar Niklas Wahlström PINN 346 12 0 28 Nov 2022
Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs Robert Joseph George Jiawei Zhao Jean Kossaifi Zong-Yi Li Anima Anandkumar AI4CE 236 20 0 28 Nov 2022
Neural DAEs: Constrained neural networks Tue Boesen E. Haber Uri M. Ascher 302 3 0 25 Nov 2022
Design of Turing Systems with Physics-Informed Neural NetworksIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022 J. Kho W. Koh Jian Cheng Wong P. Chiu C. Ooi DiffM AI4CE 112 4 0 24 Nov 2022
Neural tangent kernel analysis of PINN for advection-diffusion equation M. Saadat B. Gjorgiev L. Das G. Sansavini 166 2 0 21 Nov 2022
A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training Marcus Münzer C. Bard 129 6 0 21 Nov 2022
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks Junwoo Cho Seungtae Nam Hyunmo Yang S. Yun Youngjoon Hong Eunbyung Park PINN AI4CE 214 12 0 16 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 310 146 0 15 Nov 2022
First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces M. Mattheakis G. R. Schleder Daniel T. Larson E. Kaxiras 147 5 0 08 Nov 2022
A Deep Double Ritz Method (D $^2$ RM) for solving Partial Differential Equations using Neural NetworksComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 C. Uriarte David Pardo I. Muga J. Muñoz‐Matute 224 21 0 07 Nov 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantificationNeural Information Processing Systems (NeurIPS), 2022 Ruoxi Jiang Rebecca Willett 135 6 0 03 Nov 2022
Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics Indu Kant Deo Rui Gao R. Jaiman AI4CE 85 0 0 01 Nov 2022
Neuro-symbolic partial differential equation solver Pouria A. Mistani Samira Pakravan Rajesh Ilango S. Choudhry Frédéric Gibou 134 1 0 25 Oct 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuitiesJournal of Computational Physics (JCP), 2022 Pouria A. Mistani Samira Pakravan Rajesh Ilango Frédéric Gibou 217 13 0 25 Oct 2022
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domainComputer Physics Communications (CPC), 2022 Pu Ren Chengping Rao Su Chen Jian-Xun Wang Hao Sun Yang Liu 374 61 0 25 Oct 2022
Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction ProblemsEast Asian Journal on Applied Mathematics (EAJAM), 2022 Yufeng Wang Cong Xu Min Yang Jin Zhang 155 9 0 23 Oct 2022
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural NetworksInternational Conference on Machine Learning (ICML), 2022 Shibo Li Michael Penwarden Yiming Xu Conor Tillinghast Akil Narayan Robert M. Kirby Shandian Zhe AI4CE 205 6 0 23 Oct 2022
Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural Networks on Coupled Ordinary Differential EquationsAnnual Conference on Information Sciences and Systems (CISS), 2022 Alexander New B. Eng A. Timm A. Gearhart 117 6 0 14 Oct 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine LearningNeural Information Processing Systems (NeurIPS), 2022 M. Takamoto T. Praditia Raphael Leiteritz Dan MacKinlay Francesco Alesiani Dirk Pflüger Mathias Niepert AI4CE 457 321 0 13 Oct 2022
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEsNeural Information Processing Systems (NeurIPS), 2022 Songming Liu Zhongkai Hao Chengyang Ying Hang Su Jun Zhu Ze Cheng AI4CE 272 25 0 06 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discoveryNeural Information Processing Systems (NeurIPS), 2022 Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 296 10 0 04 Oct 2022