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Minimum-Excess-Work Guidance

19 May 2025

Christopher Kolloff

Tobias Höppe

Emmanouil Angelis

Mathias Jacob Schreiner

Papers citing "Minimum-Excess-Work Guidance"

30 / 30 papers shown

Title
D-Flow: Differentiating through Flows for Controlled Generation Heli Ben-Hamu Omri Puny Itai Gat Brian Karrer Uriel Singer Y. Lipman 215 65 0 21 Feb 2024
Transition Path Sampling with Boltzmann Generator-based MCMC Moves Michael Plainer Hannes Stärk Charlotte Bunne Stephan Günnemann 138 10 0 08 Dec 2023
Diffusion Model Alignment Using Direct Preference OptimizationComputer Vision and Pattern Recognition (CVPR), 2023 Bram Wallace Meihua Dang Rafael Rafailov Linqi Zhou Aaron Lou Senthil Purushwalkam Stefano Ermon Caiming Xiong Shafiq Joty Nikhil Naik EGVM 448 502 0 21 Nov 2023
A Computational Framework for Solving Wasserstein Lagrangian FlowsInternational Conference on Machine Learning (ICML), 2023 Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 427 35 0 16 Oct 2023
SE(3) Equivariant Augmented Coupling FlowsNeural Information Processing Systems (NeurIPS), 2023 Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 406 38 0 20 Aug 2023
Equivariant flow matchingNeural Information Processing Systems (NeurIPS), 2023 Leon Klein Andreas Krämer Frank Noé 279 112 0 26 Jun 2023
On Kinetic Optimal Probability Paths for Generative ModelsInternational Conference on Machine Learning (ICML), 2023 Neta Shaul Ricky T. Q. Chen Maximilian Nickel Matt Le Y. Lipman OT 179 36 0 11 Jun 2023
Training Diffusion Models with Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 534 623 0 22 May 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 1.1K 554 0 15 Mar 2023
Aligned Diffusion Schrödinger BridgesConference on Uncertainty in Artificial Intelligence (UAI), 2023 Vignesh Ram Somnath Matteo Pariset Ya-Ping Hsieh María Rodríguez Martínez Andreas Krause Charlotte Bunne DiffM 568 48 0 22 Feb 2023
Universal Guidance for Diffusion Models Arpit Bansal Hong-Min Chu Avi Schwarzschild Soumyadip Sengupta Micah Goldblum Jonas Geiping Tom Goldstein VLM 265 369 0 14 Feb 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened DynamicsNeural Information Processing Systems (NeurIPS), 2023 Leon Klein Andrew Y. K. Foong T. E. Fjelde Bruno Mlodozeniec Marc Brockschmidt Sebastian Nowozin Frank Noé Ryota Tomioka AI4CE 351 68 0 02 Feb 2023
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular DynamicsJournal of Chemical Theory and Computation (JCTC), 2023 Marloes Arts Victor Garcia Satorras Chin-Wei Huang Daniel Zuegner Marco Federici C. Clementi Frank Noé Tian Xie Rianne van den Berg DiffM 335 113 0 01 Feb 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 514 561 0 01 Feb 2023
Action Matching: Learning Stochastic Dynamics from SamplesInternational Conference on Machine Learning (ICML), 2022 Kirill Neklyudov Rob Brekelmans Daniel de Souza Severo Alireza Makhzani 357 75 0 13 Oct 2022
Flow Matching for Generative ModelingInternational Conference on Learning Representations (ICLR), 2022 Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 1.1K 2,808 0 06 Oct 2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning Dan Friedman Adji Bousso Dieng EGVM 378 194 0 05 Oct 2022
Diffusion Posterior Sampling for General Noisy Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2022 Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 615 1,224 0 29 Sep 2022
Rectified Flow: A Marginal Preserving Approach to Optimal Transport Qiang Liu OT 379 191 0 29 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 458 5,254 0 26 Jul 2022
The Schrödinger Bridge between Gaussian Measures has a Closed FormInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Charlotte Bunne Ya-Ping Hsieh Marco Cuturi Andreas Krause OT 270 66 0 11 Feb 2022
Denoising Diffusion Restoration ModelsNeural Information Processing Systems (NeurIPS), 2022 Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 931 1,080 0 27 Jan 2022
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion ModelsInternational Conference on Machine Learning (ICML), 2021 Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 970 4,341 0 20 Dec 2021
Deeptime: a Python library for machine learning dynamical models from time series data Moritz Hoffmann Martin K. Scherer Tim Hempel Andreas Mardt Brian M. de Silva ... Stefan Klus Hao Wu N. Kutz Steven L. Brunton Frank Noé AI4CE 222 132 0 28 Oct 2021
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020 Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 1.7K 8,751 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 4.7K 25,499 0 19 Jun 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric DensitiesInternational Conference on Machine Learning (ICML), 2020 Jonas Köhler Leon Klein Frank Noé DRL 308 311 0 03 Jun 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular DynamicsInternational Conference on Machine Learning (ICML), 2020 Alexander Tong Jessie Huang Guy Wolf David van Dijk Smita Krishnaswamy 193 227 0 09 Feb 2020
Normalizing Flows for Probabilistic Modeling and InferenceJournal of machine learning research (JMLR), 2019 George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 696 2,052 0 05 Dec 2019
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017 Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 3.3K 160,122 0 12 Jun 2017

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Minimum-Excess-Work Guidance

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