Physics-Informed Diffusion Models

21 March 2024

Papers citing "Physics-Informed Diffusion Models"

50 / 52 papers shown

Title
Dynamics-aware Diffusion Models for Planning and Control D. Gadginmath Fabio Pasqualetti 117 3 0 31 Mar 2025
Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach Xiangtong Yao Yirui Zhou Y. Meng Liangyu Dong Lin Hong Zitao Zhang Zhenshan Bing Kai Huang Fuchun Sun Alois C. Knoll 92 0 0 24 Feb 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories Jean-Baptiste Bouvier Kanghyun Ryu Kartik Nagpal Qiayuan Liao Koushil Sreenath Negar Mehr 134 2 0 20 Feb 2025
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis Hamidreza Eivazi André Hebenbrock Raphael Ginster Steffen Blömeke Stefan H. A. Wittek Christoph Herrmann Thomas S. Spengler Thomas Turek Andreas Rausch 51 0 0 31 Oct 2024
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 87 0 0 01 Sep 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 70 5 0 06 Aug 2024
Conditional score-based diffusion models for solving inverse problems in mechanics Agnimitra Dasgupta Harisankar Ramaswamy Javier Murgoitio-Esandi Ken Foo Runze Li Qifa Zhou Brendan Kennedy Assad A. Oberai DiffM MedIm 59 3 0 19 Jun 2024
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization Sebastian Sanokowski Sepp Hochreiter Sebastian Lehner 54 21 0 03 Jun 2024
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems Katsiaryna Haitsiukevich O. Poyraz Pekka Marttinen Alexander Ilin DiffM 67 2 0 11 May 2024
Constrained Synthesis with Projected Diffusion Models Jacob K Christopher Stephen Baek Ferdinando Fioretto DiffM 64 16 0 05 Feb 2024
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models Tsun-Hsuan Wang Juntian Zheng Pingchuan Ma Yilun Du Byungchul Kim Andrew Spielberg Josh Tenenbaum Chuang Gan Daniela Rus AI4CE 48 24 0 28 Nov 2023
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation Marten Lienen David Lüdke Jan Hansen-Palmus Stephan Günnemann DiffM AI4CE 90 27 0 29 May 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation Giorgio Giannone Akash Srivastava Ole Winther Faez Ahmed DiffM AI4CE 49 29 0 29 May 2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation Tong Wu Zhihao Fan Xiao Liu Yeyun Gong Yelong Shen ... Juntao Li Zhongyu Wei Jian Guo Nan Duan Weizhu Chen VLM 97 58 0 16 May 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy Tiankai Hang Shuyang Gu Chen Li Jianmin Bao Dong Chen Han Hu Xin Geng B. Guo 43 154 0 16 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 95 930 0 02 Mar 2023
Denoising Diffusion Samplers Francisco Vargas Will Grathwohl Arnaud Doucet DiffM 40 81 0 27 Feb 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 70 48 0 24 Feb 2023
PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan Jiaming Song Umar Iqbal Arash Vahdat Jan Kautz VGen DiffM 75 242 0 05 Dec 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction Dule Shu Zijie Li A. Farimani DiffM AI4CE 54 132 0 26 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 97 87 0 02 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 301 1,347 0 02 Sep 2022
Diffusion Models Beat GANs on Topology Optimization Franccois Mazé Faez Ahmed DiffM AI4CE 53 59 0 20 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 91 3,830 0 26 Jul 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 209 802 0 27 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 38 428 0 29 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 85 594 0 31 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 116 502 0 06 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 270 15,081 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 243 3,552 0 20 Dec 2021
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 63 109 0 30 Nov 2021
Crystal Diffusion Variational Autoencoder for Periodic Material Generation Tian Xie Xiang Fu O. Ganea Regina Barzilay Tommi Jaakkola DiffM BDL 222 238 0 12 Oct 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 140 1,089 0 01 Jul 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 150 7,639 0 11 May 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 270 6,293 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 149 7,166 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 86 1,429 0 21 Sep 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 123 1,734 0 29 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 327 17,550 0 19 Jun 2020
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables Maximilian Rixner P. Koutsourelakis AI4CE 54 21 0 02 Jun 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang Levent Burak Kara AI4CE 114 169 0 05 Mar 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 51 269 0 02 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 226 10,591 0 17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 282 42,038 0 03 Dec 2019
Group Normalization Yuxin Wu Kaiming He 147 3,626 0 22 Mar 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 56 640 0 21 Jan 2018
Sobolev Training for Neural Networks Wojciech M. Czarnecki Simon Osindero Max Jaderberg G. Swirszcz Razvan Pascanu 46 242 0 15 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 490 129,831 0 12 Jun 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning Stefan Elfwing E. Uchibe Kenji Doya 67 1,702 0 10 Feb 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 285 10,412 0 21 Jul 2016