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CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural
  Representations
v1v2v3 (latest)

CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations

International Conference on Learning Representations (ICLR), 2022
6 June 2022
Julius Berner
Jinxu Xiang
D. Cho
Yue Chang
G. Pershing
H. Maia
Maurizio M. Chiaramonte
Kevin Carlberg
E. Grinspun
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations"

38 / 38 papers shown
Conditional neural field for spatial dimension reduction of turbulence data: a comparison study
Conditional neural field for spatial dimension reduction of turbulence data: a comparison study
Junyi Guo
P. Du
Xiantao Fan
Yahui Li
Jian-Xun Wang
AI4CE
186
1
0
29 Oct 2025
Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
Fan Liu
Jindong Han
Tengfei Lyu
Weijia Zhang
Zhe Yang
Lu Dai
Cancheng Liu
Hao Liu
149
2
0
17 Oct 2025
Generalized Dynamics Generation towards Scannable Physical World Model
Generalized Dynamics Generation towards Scannable Physical World Model
Yichen Li
Zhiyi Li
Brandon Feng
Dinghuai Zhang
Antonio Torralba
3DGSAI4CE
164
0
0
16 Oct 2025
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
Yutian Tao
Maurizio Chiaramonte
Pablo Fernandez
AI4CE
89
0
0
29 Sep 2025
SpringTime: Learning Simulatable Models of Cloth with Spatially-varying Constitutive Properties
SpringTime: Learning Simulatable Models of Cloth with Spatially-varying Constitutive Properties
Guanxiong Chen
Shashwat Suri
Yuhao Wu
Etienne Voulga
David I.W. Levin
Dinesh Pai
David I.W. Levin
Dinesh K. Pai
AI4CE
314
1
0
28 Jul 2025
Geometric Operator Learning with Optimal Transport
Geometric Operator Learning with Optimal Transport
Xinyi Li
Zongyi Li
Nikola B. Kovachki
Anima Anandkumar
OTAI4CE
182
6
0
26 Jul 2025
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
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
339
10
0
03 Jul 2025
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
Julius Berner
Miguel Liu-Schiaffini
Jean Kossaifi
Valentin Duruisseaux
Boris Bonev
Kamyar Azizzadenesheli
A. Anandkumar
AI4CE
395
7
0
12 Jun 2025
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu
Hao Miao
Guojiang Shen
Yan Zhao
Xiangjie Kong
Ivan Lee
386
2
0
02 Jun 2025
Neural Kinematic Bases for Fluids
Neural Kinematic Bases for Fluids
Yibo Liu
Zhixin Fang
S. Darkner
Noam Aigerman
Kenny Erleben
Paul Kry
T. Schneider
3DHAI4CE
200
1
0
22 Apr 2025
Generative Latent Neural PDE Solver using Flow Matching
Generative Latent Neural PDE Solver using Flow Matching
Zijie Li
Anthony Zhou
Amir Barati Farimani
DiffMAI4CE
376
15
0
28 Mar 2025
Advancing Generalization in PINNs through Latent-Space Representations
Advancing Generalization in PINNs through Latent-Space RepresentationsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Honghui Wang
Yifan Pu
Shiji Song
Gao Huang
AI4CEPINN
364
3
0
28 Nov 2024
Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters
Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D CharactersComputer Vision and Pattern Recognition (CVPR), 2024
Zhiyang Guo
Jinxu Xiang
Kai Ma
Wengang Zhou
Haoyang Li
Ran Zhang
3DH
428
19
0
27 Nov 2024
Embedded IPC: Fast and Intersection-free Simulation in Reduced Subspace
  for Robot Manipulation
Embedded IPC: Fast and Intersection-free Simulation in Reduced Subspace for Robot ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2024
Wenxin Du
Chang Yu
Siyu Ma
Ying Jiang
Zeshun Zong
Yin Yang
Joe Masterjohn
Alejandro M. Castro
Xuchen Han
Jian Ren
203
2
0
24 Sep 2024
Learning Latent Space Dynamics with Model-Form Uncertainties: A
  Stochastic Reduced-Order Modeling Approach
Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling ApproachComputer Methods in Applied Mechanics and Engineering (CMAME), 2024
Jin Yi Yong
Rudy Geelen
Johann Guilleminot
330
4
0
30 Aug 2024
Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction
Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction
Hrishikesh Viswanath
Yue Chang
Julius Berner
Julius Berner
Peter Yichen Chen
Aniket Bera
AI4CE
607
4
0
04 Jul 2024
DiffusionPDE: Generative PDE-Solving Under Partial Observation
DiffusionPDE: Generative PDE-Solving Under Partial Observation
Jiahe Huang
Guandao Yang
Zichen Wang
Jeong Joon Park
DiffM
239
90
0
25 Jun 2024
Vectorized Conditional Neural Fields: A Framework for Solving
  Time-dependent Parametric Partial Differential Equations
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
Jan Hagnberger
Marimuthu Kalimuthu
Daniel Musekamp
Mathias Niepert
AI4TSAI4CE
382
10
0
06 Jun 2024
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local
  Neural Fields
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
Louis Serrano
Thomas X. Wang
E. L. Naour
Jean-Noel Vittaut
Patrick Gallinari
391
24
0
04 Jun 2024
FUSE: Fast Unified Simulation and Estimation for PDEs
FUSE: Fast Unified Simulation and Estimation for PDEsNeural Information Processing Systems (NeurIPS), 2024
Levi E. Lingsch
Dana Grund
Siddhartha Mishra
Georgios Kissas
AI4CE
347
5
0
23 May 2024
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from
  the perspective of partial differential equations
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations
Shiyi Qi
Zenglin Xu
Yiduo Li
Liangjiang Wen
Qingsong Wen
Qifan Wang
Yuan Qi
AI4TSAI4CE
313
3
0
25 Feb 2024
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk
  Regularization
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization
Xiaoyu Xie
S. Mowlavi
M. Benosman
AI4CE
273
3
0
23 Feb 2024
CoLoRA: Continuous low-rank adaptation for reduced implicit neural
  modeling of parameterized partial differential equations
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
Jules Berman
Benjamin Peherstorfer
244
17
0
22 Feb 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash
  Simulations Using Graph Convolutional Neural Networks
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks
Jonas Kneifl
Jörg Fehr
Steven L. Brunton
J. Nathan Kutz
AI4CE
257
1
0
14 Feb 2024
Accurate Differential Operators for Hybrid Neural Fields
Accurate Differential Operators for Hybrid Neural FieldsComputer Vision and Pattern Recognition (CVPR), 2023
Aditya Chetan
Guandao Yang
Zichen Wang
Steve Marschner
Bharath Hariharan
AI4CE
260
4
0
10 Dec 2023
Reduced-order modeling for parameterized PDEs via implicit neural
  representations
Reduced-order modeling for parameterized PDEs via implicit neural representations
Tianshu Wen
Kookjin Lee
Youngsoo Choi
AI4CE
265
8
0
28 Nov 2023
A Hierarchical Spatial Transformer for Massive Point Samples in
  Continuous Space
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
Wenchong He
Zhe Jiang
Tingsong Xiao
Zelin Xu
Shigang Chen
Ronald Fick
Miles Medina
Christine Angelini
284
18
0
08 Nov 2023
Neural Stress Fields for Reduced-order Elastoplasticity and Fracture
Neural Stress Fields for Reduced-order Elastoplasticity and FractureACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2023
Zeshun Zong
Xuan Li
Minchen Li
Maurizio M. Chiaramonte
Wojciech Matusik
E. Grinspun
Kevin Carlberg
Jian Ren
Julius Berner
AI4CE
348
28
0
26 Oct 2023
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural
  Fields
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural FieldsACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2023
Yue Chang
Julius Berner
Zhecheng Wang
Maurizio M. Chiaramonte
Kevin Carlberg
E. Grinspun
AI4CE
315
16
0
24 Oct 2023
Neural Operators for Accelerating Scientific Simulations and Design
Neural Operators for Accelerating Scientific Simulations and DesignNature Reviews Physics (Nat. Rev. Phys.), 2023
Kamyar Azzizadenesheli
Nikola B. Kovachki
Zong-Yi Li
Miguel Liu-Schiaffini
Jean Kossaifi
Anima Anandkumar
AI4CE
730
297
0
27 Sep 2023
Latent assimilation with implicit neural representations for unknown
  dynamics
Latent assimilation with implicit neural representations for unknown dynamicsJournal of Computational Physics (JCP), 2023
Zhuoyuan Li
Bin Dong
Pingwen Zhang
AI4CE
297
6
0
18 Sep 2023
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell TheoryNeural Information Processing Systems (NeurIPS), 2023
Navami Kairanda
Marc Habermann
Christian Theobalt
Vladislav Golyanik
AI4CE
335
9
0
24 Aug 2023
Coupling parameter and particle dynamics for adaptive sampling in Neural
  Galerkin schemes
Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes
Yuxiao Wen
Eric Vanden-Eijnden
Benjamin Peherstorfer
195
21
0
27 Jun 2023
Operator Learning with Neural Fields: Tackling PDEs on General
  Geometries
Operator Learning with Neural Fields: Tackling PDEs on General GeometriesNeural Information Processing Systems (NeurIPS), 2023
Louis Serrano
Lise Le Boudec
Armand K. Koupai
Thomas X. Wang
Yuan Yin
Jean-Noel Vittaut
Patrick Gallinari
AI4CE
282
79
0
12 Jun 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs
CONFIDE: Contextual Finite Differences Modelling of PDEsKnowledge Discovery and Data Mining (KDD), 2023
Ori Linial
Orly Avner
Dotan Di Castro
332
2
0
28 Mar 2023
Thermodynamics-informed neural networks for physically realistic mixed
  reality
Thermodynamics-informed neural networks for physically realistic mixed realityComputer Methods in Applied Mechanics and Engineering (CMAME), 2022
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
PINNAI4CE
314
26
0
24 Oct 2022
Implicit Neural Spatial Representations for Time-dependent PDEs
Implicit Neural Spatial Representations for Time-dependent PDEsInternational Conference on Machine Learning (ICML), 2022
Honglin Chen
Rundi Wu
E. Grinspun
Changxi Zheng
Julius Berner
AI4CE
478
50
0
30 Sep 2022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Continuous PDE Dynamics Forecasting with Implicit Neural RepresentationsInternational Conference on Learning Representations (ICLR), 2022
Yuan Yin
Matthieu Kirchmeyer
Jean-Yves Franceschi
A. Rakotomamonjy
Patrick Gallinari
AI4CE
301
75
0
29 Sep 2022
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