Title
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Z. Liu Yoshua Bengio Can Chen OffRL 65 2 0 21 Mar 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey G. Subbaraj Artem Cherkasov Martin Ester Emmanuel Bengio AI4CE 74 1 0 08 Mar 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 48 1 0 24 Feb 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation Taeyoung Yun Dinghuai Zhang Jinkyoo Park Ling Pan DiffM 84 2 0 17 Feb 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner Lorenz Richter Marcin Sendera Jarrid Rector-Brooks Nikolay Malkin OffRL 60 3 0 10 Jan 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 123 2 0 10 Dec 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong Shivam Agarwal Yizhe Zhang Jiacheng Ye Lin Zheng ... Peilin Zhao W. Bi Jiawei Han Hao Peng Lingpeng Kong AI4CE 75 15 0 23 Oct 2024
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev Nikita Morozov S. Samsonov D. Tiapkin 16 0 0 20 Oct 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Chenyu Wang Masatoshi Uehara Yichun He Amy Wang Tommaso Biancalani Avantika Lal Tommi Jaakkola Sergey Levine Hanchen Wang Aviv Regev 50 8 0 17 Oct 2024
AFlow: Automating Agentic Workflow Generation Jiayi Zhang Jinyu Xiang Zhaoyang Yu Fengwei Teng Xionghui Chen ... Jinlin Wang Bingnan Zheng Bang Liu Yuyu Luo Chenglin Wu AIFin AI4CE 27 30 0 14 Oct 2024
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction Jarrid Rector-Brooks Mohsin Hasan Zhangzhi Peng Zachary Quinn Chenghao Liu ... Michael Bronstein Yoshua Bengio Pranam Chatterjee Alexander Tong Avishek Joey Bose DiffM 47 6 0 10 Oct 2024
Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo Minsu Kim Tony Shen Martin Ester Jinkyoo Park Sungsoo Ahn Woo Youn Kim 39 3 0 06 Oct 2024
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks Rui Hu Yifan Zhang Zhuoran Li Longbo Huang 35 0 0 03 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 137 2 0 02 Oct 2024
GFlowNet Pretraining with Inexpensive Rewards Mohit Pandey G. Subbaraj Emmanuel Bengio AI4CE 44 3 0 15 Sep 2024
Can a Bayesian Oracle Prevent Harm from an Agent? Yoshua Bengio Michael K. Cohen Nikolay Malkin Matt MacDermott Damiano Fornasiere Pietro Greiner Younesse Kaddar 45 4 0 09 Aug 2024
Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang Yizhe Zhang Jiatao Gu Ruixiang Zhang J. Susskind Navdeep Jaitly Shuangfei Zhai EGVM 98 7 0 02 Jun 2024
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine L. Bouman William T. Freeman DiffM 81 87 0 23 Apr 2023
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 192 53 0 02 Nov 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 134 77 0 02 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 64 24 0 28 Sep 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 183 134 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 773 0 27 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 627 0 20 May 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 166 0 31 Jan 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 838 0 12 Oct 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 127 48 0 20 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 334 1,951 0 04 May 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016