Feedback Efficient Online Fine-Tuning of Diffusion Models

26 February 2024

Papers citing "Feedback Efficient Online Fine-Tuning of Diffusion Models"

20 / 20 papers shown

Title
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design Masatoshi Uehara Xingyu Su Yulai Zhao Xiner Li Aviv Regev Shuiwang Ji Sergey Levine Tommaso Biancalani 58 1 0 20 Feb 2025
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening Ye Tian L. Yang Xinchen Zhang Yunhai Tong Mengdi Wang Bin Cui 67 1 0 17 Feb 2025
Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Seungjun Yu Kisung Kim Daejung Kim Haewook Han Jinhan Lee 62 0 0 14 Feb 2025
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control Junjie Wen Y. X. Zhu Jinming Li Zhibin Tang Chaomin Shen Feifei Feng VLM 58 12 0 09 Feb 2025
Diffusion-VLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression Junjie Wen Minjie Zhu Y. X. Zhu Zhibin Tang Jinming Li ... Chengmeng Li Xiaoyu Liu Yaxin Peng Chaomin Shen Feifei Feng 88 15 0 04 Dec 2024
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation Huy Le Miroslav Gabriel Tai Hoang Gerhard Neumann Ngo Anh Vien 108 1 0 22 Nov 2024
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning Ziyi Zhang Li Shen Sen Zhang Deheng Ye Yong Luo Miaojing Shi Bo Du Dacheng Tao 91 0 0 18 Nov 2024
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning Ayano Hiranaka Shang-Fu Chen Chieh-Hsin Lai Dongjun Kim Naoki Murata Takashi Shibuya Wei-Hsiang Liao Shao-Hua Sun Yuki Mitsufuji 47 1 0 07 Oct 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future Buhua Liu Shitong Shao Bao Li Lichen Bai Zhiqiang Xu Haoyi Xiong James Kwok Sumi Helal Zeke Xie 42 12 0 11 Sep 2024
Cell Morphology-Guided Small Molecule Generation with GFlowNets Stephen Zhewen Lu Ziqing Lu Ehsan Hajiramezanali Tommaso Biancalani Yoshua Bengio Gabriele Scalia Michał Koziarski 38 2 0 09 Aug 2024
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review Masatoshi Uehara Yulai Zhao Tommaso Biancalani Sergey Levine 63 22 0 18 Jul 2024
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization Siyi Gu Minkai Xu Alexander Powers Weili Nie Tomas Geffner Karsten Kreis J. Leskovec Arash Vahdat Stefano Ermon 48 7 0 01 Jul 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 34 3 0 30 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning Yulai Zhao Masatoshi Uehara Gabriele Scalia Tommaso Biancalani Sergey Levine Ehsan Hajiramezanali Ehsan Hajiramezanali AI4CE 57 3 0 17 Jun 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 37 48 0 11 Apr 2024
Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback Mo Kordzanganeh Danial Keshvary Nariman Arian EGVM 26 0 0 05 Apr 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 44 23 0 12 Feb 2024
Latent Diffusion Model for DNA Sequence Generation Zehui Li Yuhao Ni Tim August B. Huygelen Akashaditya Das Guoxuan Xia Guy-Bart Stan Yiren Zhao 41 9 0 09 Oct 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 251 262 0 15 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022