Discrete Probabilistic Inference as Control in Multi-path Environments

15 February 2024

Nikolay Malkin

Papers citing "Discrete Probabilistic Inference as Control in Multi-path Environments"

33 / 33 papers shown

Title
Sampling Decisions Michael Chertkov Sungsoo Ahn Hamidreza Behjoo 44 1 0 17 Mar 2025
Learning Decision Trees as Amortized Structure Inference Mohammed Mahfoud Ghait Boukachab Michał Koziarski A. Garcia Stefan Bauer Yoshua Bengio Nikolay Malkin BDL 53 0 0 10 Mar 2025
Consistent Amortized Clustering via Generative Flow Networks Irit Chelly Roy Uziel O. Freifeld Ari Pakman 51 0 0 26 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
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization Hyeon-Seob Kim Minsu Kim Sanghyeok Choi Jinkyoo Park 42 3 0 31 Dec 2024
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev Nikita Morozov S. Samsonov D. Tiapkin 16 0 0 20 Oct 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 28 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
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading Melanie Rieff Fabian Holzberger Oksana Lapina Geir Ringstad Lars Magnus Valnes Bogna Warsza Kent-Andre Mardal Per Kristian Eide Barbara Wohlmuth 38 3 0 06 Oct 2024
Sampling from Energy-based Policies using Diffusion V. Jain Tara Akhound-Sadegh Siamak Ravanbakhsh DiffM 40 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 140 2 0 02 Oct 2024
GFlowNet Training by Policy Gradients Puhua Niu Shili Wu Mingzhou Fan Xiaoning Qian 88 3 0 12 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
On Generalization for Generative Flow Networks Anas Krichel Nikolay Malkin Salem Lahlou Yoshua Bengio AI4CE 14 1 0 03 Jul 2024
Improving GFlowNets with Monte Carlo Tree Search Nikita Morozov D. Tiapkin S. Samsonov Alexey Naumov Dmitry Vetrov 54 1 0 19 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 98 10 0 09 Jun 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs Zitao Song Chao Yang Chaojie Wang Bo An Shuang Li 52 4 0 03 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 83 6 0 03 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 98 7 0 02 Jun 2024
Pessimistic Backward Policy for GFlowNets Hyosoon Jang Yunhui Jang Minsu Kim Jinkyoo Park Sungsoo Ahn 57 4 0 25 May 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 41 23 0 11 Mar 2024
QGFN: Controllable Greediness with Action Values Elaine Lau Stephen Zhewen Lu Ling Pan Doina Precup Emmanuel Bengio 111 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 30 2 0 07 Feb 2024
Maximum entropy GFlowNets with soft Q-learning Sobhan Mohammadpour Emmanuel Bengio Emma Frejinger Pierre-Luc Bacon 35 17 0 21 Dec 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
CFlowNets: Continuous Control with Generative Flow Networks Yinchuan Li Shuang Luo Haozhi Wang Jianye Hao 83 20 0 04 Mar 2023
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
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon 108 4 0 13 Sep 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 166 0 31 Jan 2022
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 200 885 0 07 Jun 2018