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A theory of continuous generative flow networks

30 January 2023

Alex Hernández-García

Nikolay Malkin

Papers citing "A theory of continuous generative flow networks"

30 / 30 papers shown

Title
Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks Sajan Muhammad Salem Lahlou 15 0 0 19 Jun 2025
Adaptive Destruction Processes for Diffusion Samplers Timofei Gritsaev Nikita Morozov Kirill Tamogashev D. Tiapkin S. Samsonov A. Naumov Dmitry Vetrov Nikolay Malkin 56 0 0 02 Jun 2025
On scalable and efficient training of diffusion samplers Minkyu Kim Kiyoung Seong Dongyeop Woo SungSoo Ahn Minsu Kim DiffM 147 0 0 26 May 2025
Energy-based generator matching: A neural sampler for general state space Dongyeop Woo Minsu Kim Minkyu Kim Kiyoung Seong SungSoo Ahn 97 0 0 26 May 2025
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets Adam Younsi Abdalgader Abubaker M. Seddik Hakim Hacid Salem Lahlou LRM 237 1 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 184 3 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 108 6 0 17 Feb 2025
Neural Flow Samplers with Shortcut Models Wuhao Chen Zijing Ou Yingzhen Li 244 2 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 157 8 0 10 Jan 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 256 6 0 10 Dec 2024
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 78 0 0 03 Nov 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 485 7 0 02 Oct 2024
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets Dominic Phillips F. Cipcigan 107 4 0 28 Aug 2024
Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons Vyacheslav Kungurtsev Fadwa Idlahcen Petr Rysavý Pavel Rytíř Ales Wodecki 101 1 0 25 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 191 32 0 31 May 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 112 58 0 09 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 239 28 0 07 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 91 4 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 86 3 0 06 Feb 2024
Evolution Guided Generative Flow Networks Zarif Ikram Ling Pan Dianbo Liu 156 1 0 03 Feb 2024
Pre-Training and Fine-Tuning Generative Flow Networks Ling Pan Moksh Jain Kanika Madan Yoshua Bengio 111 13 0 05 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 125 49 0 04 Oct 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler Weijian Luo Boya Zhang Zhihua Zhang 91 12 0 08 Jun 2023
torchgfn: A PyTorch GFlowNet library Salem Lahlou J. Viviano Victor Schmidt Yoshua Bengio AI4CE 53 5 0 24 May 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs Yinchuan Li Zhigang Li Wenqian Li Yunfeng Shao Yan Zheng Jianye Hao 83 3 0 24 Apr 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 97 55 0 01 Feb 2023
Latent State Marginalization as a Low-cost Approach for Improving Exploration Dinghuai Zhang Aaron Courville Yoshua Bengio Qinqing Zheng Amy Zhang Ricky T. Q. Chen OOD 101 10 0 03 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 231 89 0 02 Oct 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 120 26 0 06 Sep 2022
GFlowNet Foundations Yoshua Bengio Salem Lahlou T. Deleu J. E. Hu Mo Tiwari Emmanuel Bengio 109 240 0 17 Nov 2021