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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 102 34 0 21 Feb 2024
Transition Path Sampling with Boltzmann Generator-based MCMC Moves Michael Plainer Hannes Stärk Charlotte Bunne Stephan Günnemann 60 8 0 08 Dec 2023
Diffusion Model Alignment Using Direct Preference Optimization Bram Wallace Meihua Dang Rafael Rafailov Linqi Zhou Aaron Lou Senthil Purushwalkam Stefano Ermon Caiming Xiong Shafiq Joty Nikhil Naik EGVM 159 288 0 21 Nov 2023
A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 106 23 0 16 Oct 2023
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 185 27 0 20 Aug 2023
Equivariant flow matching Leon Klein Andreas Krämer Frank Noé 105 79 0 26 Jun 2023
On Kinetic Optimal Probability Paths for Generative Models Neta Shaul Ricky T. Q. Chen Maximilian Nickel Matt Le Y. Lipman OT 69 26 0 11 Jun 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 154 377 0 22 May 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 333 326 0 15 Mar 2023
Aligned Diffusion Schrödinger Bridges Vignesh Ram Somnath Matteo Pariset Ya-Ping Hsieh María Rodríguez Martínez Andreas Krause Charlotte Bunne DiffM 230 39 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 109 277 0 14 Feb 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics Leon Klein Andrew Y. K. Foong T. E. Fjelde Bruno Mlodozeniec Marc Brockschmidt Sebastian Nowozin Frank Noé Ryota Tomioka AI4CE 144 47 0 02 Feb 2023
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics Marloes Arts Victor Garcia Satorras Chin-Wei Huang Daniel Zuegner Marco Federici C. Clementi Frank Noé Robert Pinsler Rianne van den Berg DiffM 114 92 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 129 308 0 01 Feb 2023
Action Matching: Learning Stochastic Dynamics from Samples Kirill Neklyudov Rob Brekelmans Daniel de Souza Severo Alireza Makhzani 108 59 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
The Vendi Score: A Diversity Evaluation Metric for Machine Learning Dan Friedman Adji Bousso Dieng EGVM 165 128 0 05 Oct 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 131 865 0 29 Sep 2022
Rectified Flow: A Marginal Preserving Approach to Optimal Transport Qiang Liu OT 189 108 0 29 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 210 3,982 0 26 Jul 2022
The Schrödinger Bridge between Gaussian Measures has a Closed Form Charlotte Bunne Ya-Ping Hsieh Marco Cuturi Andreas Krause OT 92 52 0 11 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 402 851 0 27 Jan 2022
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 465 3,641 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 98 107 0 28 Oct 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 519 6,599 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 997 18,496 0 19 Jun 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities Jonas Köhler Leon Klein Frank Noé DRL 143 279 0 03 Jun 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong Jessie Huang Guy Wolf David van Dijk Smita Krishnaswamy 77 175 0 09 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 219 1,722 0 05 Dec 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 974 133,279 0 12 Jun 2017