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Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting

4 October 2024

Papers citing "Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting"

43 / 43 papers shown

Title
FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems N. Benjamin Erichson Vinicius Mikuni Dongwei Lyu Yang Gao Omri Azencot Soon Hoe Lim Michael W. Mahoney AI4CE 898 0 0 23 May 2025
A Deep State Space Model for Rainfall-Runoff Simulations Yihan Wang Lujun Zhang Annan Yu N. Benjamin Erichson Tiantian Yang 108 1 0 28 Jan 2025
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling Jaideep Pathak Y. Cohen Piyush Garg Peter Harrington Noah D. Brenowitz ... Morteza Mardani Arash Vahdat Shaoming Xu K. Kashinath Michael Pritchard DiffM AI4Cl 109 11 0 20 Aug 2024
Discrete Flow Matching Itai Gat Tal Remez Neta Shaul Felix Kreuk Ricky T. Q. Chen Gabriel Synnaeve Yossi Adi Y. Lipman DiffM 138 85 0 22 Jul 2024
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling Pu Ren R. Nakata Maxime Lacour Ilan Naiman Nori Nakata ... Osman Asif Malik Dmitriy Morozov Omri Azencot N. Benjamin Erichson Michael W. Mahoney AI4CE 72 9 0 21 Jul 2024
WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning Dongwei Lyu R. Nakata Pu Ren Michael W. Mahoney A. Pitarka Nori Nakata N. Benjamin Erichson 144 2 0 30 May 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes Yifan Chen Mark Goldstein Mengjian Hua M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden AI4TS 110 19 0 20 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 321 1,410 0 05 Mar 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 91 10 0 05 Jan 2024
Photorealistic Video Generation with Diffusion Models Agrim Gupta Lijun Yu Kihyuk Sohn Xiuye Gu Meera Hahn Fei-Fei Li Irfan Essa Lu Jiang José Lezama VGen 135 201 0 11 Dec 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 327 1,190 0 25 Nov 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 107 29 0 04 Sep 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 120 75 0 17 Jul 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 227 69 0 03 Jun 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 126 150 0 28 Apr 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 331 326 0 15 Mar 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 129 308 0 01 Feb 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models Haomin Wen Youfang Lin Yutong Xia Huaiyu Wan Qingsong Wen Roger Zimmermann Yuxuan Liang DiffM 135 93 0 31 Jan 2023
Efficient Video Prediction via Sparsely Conditioned Flow Matching A. Davtyan Sepehr Sameni Paolo Favaro VGen DiffM 102 31 0 26 Nov 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning M. Takamoto T. Praditia Raphael Leiteritz Dan MacKinlay Francesco Alesiani Dirk Pflüger Mathias Niepert AI4CE 116 237 0 13 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 244 1,391 0 06 Oct 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data Uriel Singer Adam Polyak Thomas Hayes Xiaoyue Yin Jie An ... Oron Ashual Oran Gafni Devi Parikh Sonal Gupta Yaniv Taigman DiffM VGen 97 1,439 0 29 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 271 1,056 0 07 Sep 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 286 2,035 0 01 Jun 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 114 439 0 29 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 252 1,648 0 07 Apr 2022
Learning continuous models for continuous physics Aditi S. Krishnapriyan A. Queiruga N. Benjamin Erichson Michael W. Mahoney AI4CE 112 35 0 17 Feb 2022
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 122 237 0 14 Dec 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 84 557 0 07 Jul 2021
Stateful ODE-Nets using Basis Function Expansions A. Queiruga N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 63 16 0 21 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 88 40 0 18 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 89 688 0 10 Jun 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 173 320 0 28 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 228 676 0 22 Jan 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 510 6,599 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 334 7,525 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 991 18,496 0 19 Jun 2020
Forecasting Sequential Data using Consistent Koopman Autoencoders Omri Azencot N. Benjamin Erichson Vanessa Lin Michael W. Mahoney AI4TS AI4CE 206 152 0 04 Mar 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 271 3,971 0 12 Jul 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 521 5,180 0 19 Jun 2018
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 571 1,413 0 01 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 657 8,037 0 13 Jun 2015
Advances in Optimizing Recurrent Networks Yoshua Bengio Nicolas Boulanger-Lewandowski Razvan Pascanu ODL 113 523 0 04 Dec 2012