A theory of continuous generative flow networks

30 January 2023

Alex Hernández-García

Nikolay Malkin

Papers citing "A theory of continuous generative flow networks"

50 / 72 papers shown

Title
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 37 0 0 06 May 2025
Secrets of GFlowNets' Learning Behavior: A Theoretical Study Tianshu Yu 14 0 0 04 May 2025
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets Adam Younsi Abdalgader Abubaker M. Seddik Hakim Hacid Salem Lahlou LRM 57 0 0 28 Apr 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J. Havens Benjamin Kurt Miller Bing Yan Carles Domingo-Enrich Anuroop Sriram ... Brandon Amos Brian Karrer Xiang Fu Guan-Horng Liu Ricky T. Q. Chen DiffM 45 0 0 16 Apr 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation Taeyoung Yun Dinghuai Zhang Jinkyoo Park Ling Pan DiffM 78 2 0 17 Feb 2025
Neural Flow Samplers with Shortcut Models Wuhao Chen Zijing Ou Yingzhen Li 82 0 0 11 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 58 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 120 2 0 10 Dec 2024
Streaming Bayes GFlowNets Tiago da Silva Daniel Augusto R. M. A. de Souza Diego Mesquita BDL 38 0 0 08 Nov 2024
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 28 0 0 03 Nov 2024
Action abstractions for amortized sampling Oussama Boussif Léna Néhale Ezzine J. Viviano Michał Koziarski Moksh Jain Nikolay Malkin Emmanuel Bengio Rim Assouel Yoshua Bengio 23 4 0 19 Oct 2024
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 29 1 0 12 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 42 6 0 10 Oct 2024
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks Rui Hu Yifan Zhang Zhuoran Li Longbo Huang 32 0 0 03 Oct 2024
Sampling from Energy-based Policies using Diffusion V. Jain Tara Akhound-Sadegh Siamak Ravanbakhsh DiffM 31 1 0 02 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 114 2 0 02 Oct 2024
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration Siyi He 23 0 0 01 Oct 2024
Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities Dongyeop Woo Sungsoo Ahn 30 5 0 29 Aug 2024
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets Dominic Phillips F. Cipcigan 40 3 0 28 Aug 2024
Multi-Agent Continuous Control with Generative Flow Networks Shuang Luo Yinchuan Li Shunyu Liu Xu Zhang Yunfeng Shao Chao Wu AI4CE 27 2 0 13 Aug 2024
Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons Vyacheslav Kungurtsev Fadwa Idlahcen Petr Rysavý Pavel Rytír Ales Wodecki 47 1 0 25 Jun 2024
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling Denis Blessing Xiaogang Jia Johannes Esslinger Francisco Vargas Gerhard Neumann 50 16 0 11 Jun 2024
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples Fangxu Yu Lai Jiang Haoqiang Kang Shibo Hao Lianhui Qin LRM AI4CE 91 10 0 09 Jun 2024
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 42 1 0 05 Jun 2024
Bifurcated Generative Flow Networks Chunhui Li Cheng-Hao Liu Dianbo Liu Qingpeng Cai Ling Pan 80 2 0 04 Jun 2024
Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang Yizhe Zhang Jiatao Gu Ruixiang Zhang J. Susskind Navdeep Jaitly Shuangfei Zhai EGVM 95 7 0 02 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 60 24 0 31 May 2024
Pessimistic Backward Policy for GFlowNets Hyosoon Jang Yunhui Jang Minsu Kim Jinkyoo Park Sungsoo Ahn 51 4 0 25 May 2024
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms Shuai Guo Jielei Chu Lei Zhu Zhaoyu Li Tianrui Li AI4CE 31 2 0 08 Apr 2024
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia N. Diamant Alex Tseng Tommaso Biancalani Sergey Levine 29 42 0 23 Feb 2024
Discrete Probabilistic Inference as Control in Multi-path Environments T. Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio 111 28 0 15 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 32 41 0 09 Feb 2024
QGFN: Controllable Greediness with Action Values Elaine Lau Stephen Zhewen Lu Ling Pan Doina Precup Emmanuel Bengio 103 12 0 07 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 66 17 0 07 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 25 2 0 07 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 19 3 0 06 Feb 2024
Evolution Guided Generative Flow Networks Zarif Ikram Ling Pan Dianbo Liu 81 1 0 03 Feb 2024
SymbolicAI: A framework for logic-based approaches combining generative models and solvers Marius-Constantin Dinu Claudiu Leoveanu-Condrei Markus Holzleitner Werner Zellinger Sepp Hochreiter 41 9 0 01 Feb 2024
A Theory of Non-Acyclic Generative Flow Networks Leo Maxime Brunswic Yinchuan Li Yushun Xu Shangling Jui Lizhuang Ma 21 3 0 23 Dec 2023
Improving Gradient-guided Nested Sampling for Posterior Inference Pablo Lemos Nikolay Malkin Will Handley Yoshua Bengio Y. Hezaveh Laurence Perreault Levasseur BDL 39 9 0 06 Dec 2023
Towards equilibrium molecular conformation generation with GFlowNets Alexandra Volokhova Michal Koziarski Alex Hernández-García Cheng-Hao Liu Santiago Miret Pablo Lemos Luca Thiede Zichao Yan Alán Aspuru-Guzik Yoshua Bengio 24 9 0 20 Oct 2023
Generative Flow Networks as Entropy-Regularized RL D. Tiapkin Nikita Morozov Alexey Naumov Dmitry Vetrov 35 28 0 19 Oct 2023
PhyloGFN: Phylogenetic inference with generative flow networks Mingyang Zhou Zichao Yan Elliot Layne Nikolay Malkin Dinghuai Zhang Moksh Jain Mathieu Blanchette Yoshua Bengio 24 16 0 12 Oct 2023
Crystal-GFN: sampling crystals with desirable properties and constraints Mila AI4Science Alex Hernandez-Garcia Alexandre Duval Alexandra Volokhova Yoshua Bengio Divya Sharma P. Carrier Yasmine Benabed Michal Koziarski Victor Schmidt 141 18 0 07 Oct 2023
Pre-Training and Fine-Tuning Generative Flow Networks Ling Pan Moksh Jain Kanika Madan Yoshua Bengio 42 13 0 05 Oct 2023
Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim Joohwan Ko Taeyoung Yun Dinghuai Zhang Ling Pan W. Kim Jinkyoo Park Emmanuel Bengio Yoshua Bengio AI4CE 25 21 0 04 Oct 2023
Expected flow networks in stochastic environments and two-player zero-sum games Marco Jiralerspong Bilun Sun Danilo Vucetic Tianyu Zhang Yoshua Bengio Gauthier Gidel Nikolay Malkin 31 5 0 04 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 26 40 0 04 Oct 2023
Discrete, compositional, and symbolic representations through attractor dynamics Andrew Nam Eric Elmoznino Nikolay Malkin Chen Sun Yoshua Bengio Guillaume Lajoie 29 0 0 03 Oct 2023
Compositional Sculpting of Iterative Generative Processes Yixuan Wang Sebastiaan De Peuter Mingtong Zhang Vikas K. Garg Samuel Kaski Tommi Jaakkola DiffM 24 15 0 28 Sep 2023