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Transformers for Modeling Physical Systems

4 October 2020

Papers citing "Transformers for Modeling Physical Systems"

50 / 68 papers shown

Title
On the Generalisation of Koopman Representations for Chaotic System Control Kyriakos Hjikakou Juan Cardenas-Cartagena Matthia Sabatelli AI4CE 16 0 0 26 Aug 2025
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation François Rozet Ruben Ohana Michael McCabe Gilles Louppe F. Lanusse S. Ho DiffM 32 1 0 03 Jul 2025
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations Milad Ramezankhani Janak M. Patel A. Deodhar Dagnachew Birru AI4CE 57 1 0 16 Jun 2025
PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations Jin Song Kenji Kawaguchi Zhenya Yan AI4CE 142 0 0 02 Jun 2025
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer Daniel Durstewitz AI4TS SyDa AI4CE 327 3 0 19 May 2025
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs Shuwen Sun Lihong Feng P. Benner 106 0 0 01 May 2025
Cellular Development Follows the Path of Minimum Action Rohola Zandie Farhan Khodaee Yufan Xia Elazer R. Edelman 146 0 0 10 Apr 2025
Augmented Invertible Koopman Autoencoder for long-term time series forecasting Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS 117 0 0 17 Mar 2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence Pranav Vaidhyanathan Aristotelis Papatheodorou Mark T. Mitchison Natalia Ares Ioannis Havoutis PINN AI4CE 213 2 0 23 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 208 9 0 13 Feb 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation Qi Wang Yuan Mi Haoran Wang Yi Zhang Ruizhi Chengze Hongsheng Liu J. Wen Hao Sun AI4CE 136 2 0 28 Jan 2025
Koopman Learning with Episodic Memory William T. Redman Dean Huang M. Fonoberova Igor Mezić 152 1 0 08 Jan 2025
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Jake Buzhardt C. Ricardo Constante-Amores Michael D. Graham 204 3 0 20 Nov 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction Manuel Brenner Christoph Jürgen Hemmer Zahra Monfared Daniel Durstewitz AI4CE 105 5 0 18 Oct 2024
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation Chuanyang Zheng Yihang Gao Han Shi Jing Xiong Jiankai Sun ... Xiaozhe Ren Michael Ng Xin Jiang Zhenguo Li Yu Li 129 5 0 07 Oct 2024
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling Shivam Barwey Riccardo Balin Bethany Lusch Saumil Patel Ramesh Balakrishnan Pinaki Pal R. Maulik V. Vishwanath GNN AI4CE 92 2 0 02 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng Qi Wang Ming Yan Teli Ma Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 282 6 0 02 Oct 2024
$M$^{2}$M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need$ M $^{2}$ M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need Aoming Liang Zhaoyang Mu Pengxiao Lin Cong Wang Mingming Ge Ling Shao Dixia Fan Hao Tang AI4CE 135 0 0 01 Oct 2024
AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility Wenli Xiao Haoru Xue Tony Tao Dvij Kalaria John M. Dolan Guanya Shi 104 12 0 24 Sep 2024
Universal Approximation of Operators with Transformers and Neural Integral Operators E. Zappala Maryam Bagherian 94 2 0 01 Sep 2024
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations Han Gao Sebastian Kaltenbach Petros Koumoutsakos DiffM AI4CE 143 14 0 31 Jul 2024
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations Jan Hagnberger Marimuthu Kalimuthu Daniel Musekamp Mathias Niepert AI4TS AI4CE 152 6 0 06 Jun 2024
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification N. T. Mücke Sander M. Bohté C. Oosterlee 98 1 0 04 Jun 2024
Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity Benjamin Shih Ahmad Peyvan Zhongqiang Zhang George Karniadakis AI4CE 118 18 0 29 May 2024
Transformer models classify random numbers Rishabh Goel YiZi Xiao Ramin Ramezani 144 1 0 06 May 2024
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention Ethan N. Evans Matthew G. Cook Zachary P. Bradshaw Margarite L. LaBorde 241 9 0 21 Mar 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 143 19 0 28 Feb 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations Zijie Li Saurabh Patil Francis Ogoke Dule Shu Wilson Zhen Michael Schneier John R. Buchanan A. Farimani AI4CE 142 5 0 27 Feb 2024
Generative Learning for Forecasting the Dynamics of Complex Systems Han Gao Sebastian Kaltenbach Petros Koumoutsakos AI4TS AI4CE 154 8 0 27 Feb 2024
OmniArch: Building Foundation Model For Scientific Computing Tianyu Chen Haoyi Zhou Ying Li Hao Wang Chonghan Gao Rongye Shi Shanghang Zhang Jianxin Li AI4CE 155 1 0 25 Feb 2024
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage G. S. Seabra N. T. Mücke Vinicius Luiz Santos Silva Denis Voskov F. Vossepoel AI4CE 84 18 0 09 Feb 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations Andrey Bryutkin Jiahao Huang Zhongying Deng Guang Yang Carola-Bibiane Schönlieb Angelica E. Avilés-Rivero 114 10 0 05 Feb 2024
Resolution invariant deep operator network for PDEs with complex geometries Jianguo Huang Yue Qiu 120 0 0 01 Feb 2024
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing Aleksandar Terzić Michael Hersche G. Karunaratne Zixiao Huang Abu Sebastian Abbas Rahimi AI4TS 79 1 0 09 Dec 2023
Multi-scale Time-stepping of Partial Differential Equations with Transformers AmirPouya Hemmasian A. Farimani AI4CE 110 15 0 03 Nov 2023
Machine learning in physics: a short guide F. A. Rodrigues PINN AI4CE 77 9 0 16 Oct 2023
Easy attention: A simple attention mechanism for temporal predictions with transformers Marcial Sanchis-Agudo Yuning Wang Roger Arnau L. Guastoni Jasmin Lim Karthik Duraisamy Ricardo Vinuesa AI4TS 112 0 0 24 Aug 2023
A generative model for surrogates of spatial-temporal wildfire nowcasting Sibo Cheng Yike Guo Rossella Arcucci SyDa AI4CE 76 9 0 05 Aug 2023
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis Guoxiang Grayson Tong Carlos A. Sing Long Daniele E. Schiavazzi 121 8 0 24 Jul 2023
Machine learning for advancing low-temperature plasma modeling and simulation J. Trieschmann Luca Vialetto T. Gergs AI4CE 127 6 0 30 Jun 2023
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study Alexander Windmann Henrik S. Steude Oliver Niggemann OOD AI4TS AAML 79 3 0 13 Jun 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 156 99 0 27 May 2023
OL-Transformer: A Fast and Universal Surrogate Simulator for Optical Multilayer Thin Film Structures Taigao Ma Haozhu Wang L. J. Guo AI4CE 66 2 0 19 May 2023
Physics Informed Token Transformer for Solving Partial Differential Equations Cooper Lorsung Zijie Li Amir Barati Farimani AI4CE 166 18 0 15 May 2023
Orthogonal Transforms in Neural Networks Amount to Effective Regularization Krzysztof Zajkac Wojciech Sopot Paweł Wachel 81 0 0 10 May 2023
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain Pu Ren Chengping Rao Haoqin Sun Yang Liu PINN 91 6 0 09 May 2023
$β$ -Variational autoencoders and transformers for reduced-order modelling of fluid flows Alberto Solera-Rico Carlos Sanmiguel Vila Miguel Gómez-López Yuning Wang Abdulrahman Almashjary Scott T. M. Dawson Ricardo Vinuesa DRL 117 104 0 07 Apr 2023
Learning Flow Functions from Data with Applications to Nonlinear Oscillators Miguel Aguiar Amritam Das Karl H. Johansson 83 2 0 29 Mar 2023
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles R. Maulik Romain Egele Krishnan Raghavan Prasanna Balaprakash UQCV AI4TS AI4CE 93 8 0 20 Feb 2023
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios Zhongzhan Huang Mingfu Liang Liang Lin Liang Lin 129 5 0 05 Feb 2023