Guided Flows for Generative Modeling and Decision Making

22 November 2023

Papers citing "Guided Flows for Generative Modeling and Decision Making"

23 / 23 papers shown

Title
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows Mashrur M. Morshed Vishnu Boddeti 73 0 0 10 Apr 2025
Improving Video Generation with Human Feedback Jie Liu Gongye Liu Jiajun Liang Ziyang Yuan Xiaokun Liu ... Pengfei Wan Di Zhang Kun Gai Yujiu Yang Wanli Ouyang VGen EGVM 108 19 0 23 Jan 2025
Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li Cai Zhou Xiyuan Wang Xingang Peng Muhan Zhang 55 2 0 04 Oct 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 111 11 0 26 Aug 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff Junhao Xiong Stephan Allenspach Jennifer Listgarten 95 37 0 03 Jun 2024
Training-free Linear Image Inverses via Flows Ashwini Pokle Matthew Muckley Ricky T. Q. Chen Brian Karrer 54 21 0 25 Sep 2023
Common Diffusion Noise Schedules and Sample Steps are Flawed Shanchuan Lin Bingchen Liu Jiashi Li Xiao Yang DiffM 61 211 0 15 May 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Cheng Chi Zhenjia Xu S. Feng Eric A. Cousineau Yilun Du Benjamin Burchfiel Russ Tedrake Shuran Song 277 1,138 0 07 Mar 2023
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning Tung Nguyen Qinqing Zheng Aditya Grover OffRL 80 6 0 11 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 133 3,830 0 26 Jul 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 184 801 0 12 May 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 253 809 0 27 Jan 2022
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 110 667 0 03 Jun 2021
Pretrained Transformers as Universal Computation Engines Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch 46 220 0 09 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 251 3,621 0 18 Feb 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 279 6,293 0 26 Nov 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 192 1,338 0 15 Apr 2020
Reward-Conditioned Policies Aviral Kumar Xue Bin Peng Sergey Levine 55 95 0 31 Dec 2019
Training Agents using Upside-Down Reinforcement Learning R. Srivastava Pranav Shyam Filipe Wall Mutz Wojciech Ja'skowski Jürgen Schmidhuber OffRL 56 124 0 05 Dec 2019
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions J. Schmidhuber 44 128 0 05 Dec 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 286 5,024 0 19 Jun 2018
Group Normalization Yuxin Wu Kaiming He 182 3,626 0 22 Mar 2018
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 119 642 0 27 Jul 2017