Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

8 June 2021

Moksh Jain

Papers citing "Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation"

50 / 218 papers shown

Title
A Generative Neural Annealer for Black-Box Combinatorial Optimization Yuan-Hang Zhang M. Di Ventra 29 0 0 14 May 2025
GFlowNets for Active Learning Based Resource Allocation in Next Generation Wireless Networks Charbel Bou Chaaya M. Bennis 40 0 0 08 May 2025
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 42 0 0 06 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
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models Karan Jain Mohammad Nayeem Teli MedIm 27 0 0 15 Apr 2025
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design Tony Shen Seonghwan Seo Ross Irwin Kieran Didi Simon Olsson Woo Youn Kim Martin Ester 51 0 0 10 Apr 2025
Global-Order GFlowNets Lluís Pastor-Pérez Javier Alonso García Lukas Mauch 29 0 0 03 Apr 2025
Learning to Reason for Long-Form Story Generation Alexander Gurung Mirella Lapata ReLM OffRL LRM 57 1 0 28 Mar 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Ziqiang Liu Yoshua Bengio Can Chen OffRL 67 2 0 21 Mar 2025
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
Less is More: Adaptive Program Repair with Bug Localization and Preference Learning Zhenlong Dai Bingrui Chen Zhuoluo Zhao Xiu Tang Sai Wu Chang Yao Zhipeng Gao Jingyuan Chen KELM 54 2 0 09 Mar 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey G. Subbaraj Artem Cherkasov Martin Ester Emmanuel Bengio AI4CE 81 1 0 08 Mar 2025
Multi-Fidelity Policy Gradient Algorithms Xinjie Liu Cyrus Neary Kushagra Gupta Christian Ellis Ufuk Topcu David Fridovich-Keil OffRL 182 0 0 07 Mar 2025
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows Xiangxin Zhou Yi Xiao Haowei Lin Xinheng He Jiaqi Guan Yang Wang Qiang Liu F. I. S. Kevin Zhou Liang Wang Jianzhu Ma AI4CE 55 0 0 06 Mar 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Yifan Niu Ziqi Gao Tingyang Xu Yang Liu Yatao Bian Yu Rong Junzhou Huang Jia Li 73 0 0 03 Mar 2025
Do GFlowNets Transfer? Case Study on the Game of 24/42 Adesh Gupta Abhinav Kumar Mansi Gupta Paras Chopra 105 0 0 03 Mar 2025
Adversarial Generative Flow Network for Solving Vehicle Routing Problems Ni Zhang Jingfeng Yang Zhiguang Cao Xu Chi 68 1 0 03 Mar 2025
Consistent Amortized Clustering via Generative Flow Networks Irit Chelly Roy Uziel Oren Freifeld Ari Pakman 51 0 0 26 Feb 2025
Single-Step Consistent Diffusion Samplers Pascal Jutras-Dubé Patrick Pynadath Ruqi Zhang DiffM 78 0 0 17 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
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 62 1 0 10 Feb 2025
Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set Yikai Wu Haoyu Zhao Sanjeev Arora 82 0 0 05 Feb 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 97 0 0 22 Jan 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 51 3 0 31 Dec 2024
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
Streaming Bayes GFlowNets Tiago da Silva Daniel Augusto R. M. A. de Souza Diego Mesquita BDL 41 0 0 08 Nov 2024
Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks T. Nguyen Sherif Abdulkader Tawfik Truyen Tran Sunil Gupta Santu Rana Svetha Venkatesh 42 0 0 06 Nov 2024
GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning Tasks Ryoichi Takase Masaya Tsunokake Yuta Tsuchiya Shota Inuzuka LRM 51 2 0 26 Oct 2024
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev Nikita Morozov S. Samsonov D. Tiapkin 21 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 0 0 19 Oct 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets Oh Joon Kwon Daiki E. Matsunaga Kee-Eung Kim AI4CE 24 0 0 19 Oct 2024
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 64 4 0 18 Oct 2024
Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning Matthew Ho Vincent Zhu Xiaoyin Chen Moksh Jain Nikolay Malkin Edwin Zhang LRM 37 2 0 17 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 50 6 0 10 Oct 2024
Guaranteed Generation from Large Language Models Minbeom Kim Thibaut Thonet Jos Rozen Hwaran Lee Kyomin Jung Marc Dymetman 46 1 0 09 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 42 3 0 06 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 41 0 0 06 Oct 2024
Generative Artificial Intelligence for Navigating Synthesizable Chemical Space Wenhao Gao Shitong Luo Connor W. Coley 26 6 0 04 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
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 186 2 0 02 Oct 2024
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models Seanie Lee Haebin Seong Dong Bok Lee Minki Kang Xiaoyin Chen Dominik Wagner Yoshua Bengio Juho Lee Sung Ju Hwang 67 2 0 02 Oct 2024
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration Siyi He 28 0 0 01 Oct 2024
Possible principles for aligned structure learning agents Lancelot Da Costa Tomáš Gavenčiak David Hyland Mandana Samiei Cristian Dragos-Manta Candice Pattisapu Adeel Razi Karl J. Friston 33 1 0 30 Sep 2024
GFlowNet Pretraining with Inexpensive Rewards Mohit Pandey G. Subbaraj Emmanuel Bengio AI4CE 47 3 0 15 Sep 2024
Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities Dongyeop Woo Sungsoo Ahn 32 5 0 29 Aug 2024
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets Dominic Phillips F. Cipcigan 44 3 0 28 Aug 2024