Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2106.04399
Cited By
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
8 June 2021
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation"
50 / 223 papers shown
Title
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration
Siyi He
36
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
36
1
0
30 Sep 2024
GFlowNet Pretraining with Inexpensive Rewards
Mohit Pandey
G. Subbaraj
Emmanuel Bengio
AI4CE
52
4
0
15 Sep 2024
Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities
Dongyeop Woo
Sungsoo Ahn
41
5
0
29 Aug 2024
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets
Dominic Phillips
F. Cipcigan
53
3
0
28 Aug 2024
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic
Victor Verreet
Lennert De Smet
Luc de Raedt
Emanuele Sansone
35
0
0
15 Aug 2024
Multi-Agent Continuous Control with Generative Flow Networks
Shuang Luo
Yinchuan Li
Shunyu Liu
Xu Zhang
Yunfeng Shao
Chao Wu
AI4CE
32
2
0
13 Aug 2024
GFlowNet Training by Policy Gradients
Puhua Niu
Shili Wu
Mingzhou Fan
Xiaoning Qian
91
3
0
12 Aug 2024
Cell Morphology-Guided Small Molecule Generation with GFlowNets
Stephen Zhewen Lu
Ziqing Lu
Ehsan Hajiramezanali
Tommaso Biancalani
Yoshua Bengio
Gabriele Scalia
Michał Koziarski
51
2
0
09 Aug 2024
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
Muxi Diao
Rumei Li
Shiyang Liu
Guogang Liao
Jingang Wang
Xunliang Cai
Weiran Xu
AAML
54
1
0
05 Aug 2024
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee
Sejin Kim
Seungpil Lee
Sanha Hwang
Jihwan Lee
Byung-Jun Lee
Sundong Kim
LRM
41
8
0
30 Jul 2024
Sensor Selection via GFlowNets: A Deep Generative Modeling Framework to Navigate Combinatorial Complexity
Spilios Evmorfos
Zhaoyi Xu
Athina P. Petropulu
19
2
0
29 Jul 2024
Small Molecule Optimization with Large Language Models
Philipp Guevorguian
Menua Bedrosian
Tigran Fahradyan
Gayane Chilingaryan
Hrant Khachatrian
Armen Aghajanyan
42
1
0
26 Jul 2024
Reinforcement Learning for Sequence Design Leveraging Protein Language Models
Jithendaraa Subramanian
Shivakanth Sujit
Niloy Irtisam
Umong Sain
Derek Nowrouzezahrai
Samira Ebrahimi Kahou
Riashat Islam
53
0
0
03 Jul 2024
On Generalization for Generative Flow Networks
Anas Krichel
Nikolay Malkin
Salem Lahlou
Yoshua Bengio
AI4CE
22
1
0
03 Jul 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun
Sujin Yun
Jaewoo Lee
Jinkyoo Park
OffRL
59
5
0
29 Jun 2024
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
Piotr Gaiñski
Michał Koziarski
Krzysztof Maziarz
Marwin H. S. Segler
Jacek Tabor
Marek Śmieja
57
3
0
26 Jun 2024
Improving GFlowNets with Monte Carlo Tree Search
Nikita Morozov
D. Tiapkin
S. Samsonov
Alexey Naumov
Dmitry Vetrov
70
1
0
19 Jun 2024
A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
Ankur Nath
Alan Kuhnle
CML
60
4
0
14 Jun 2024
Diagnosing and fixing common problems in Bayesian optimization for molecule design
Austin Tripp
José Miguel Hernández-Lobato
34
1
0
11 Jun 2024
Decoupling regularization from the action space
Sobhan Mohammadpour
Emma Frejinger
Pierre-Luc Bacon
37
0
0
10 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
103
5
0
09 Jun 2024
Baking Symmetry into GFlowNets
George Ma
Emmanuel Bengio
Yoshua Bengio
Dinghuai Zhang
54
8
0
08 Jun 2024
Embarrassingly Parallel GFlowNets
Tiago da Silva
Luiz Max Carvalho
Amauri Souza
Samuel Kaski
Diego Mesquita
44
1
0
05 Jun 2024
Using GNN property predictors as molecule generators
Felix Therrien
Edward H. Sargent
Oleksandr Voznyy
53
1
0
05 Jun 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
Amir Mohammad Karimi Mamaghan
P. Tigas
Karl Henrik Johansson
Yarin Gal
Yashas Annadani
Stefan Bauer
CML
44
3
0
05 Jun 2024
Bifurcated Generative Flow Networks
Chunhui Li
Cheng-Hao Liu
Dianbo Liu
Qingpeng Cai
Ling Pan
92
2
0
04 Jun 2024
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sebastian Sanokowski
Sepp Hochreiter
Sebastian Lehner
47
17
0
03 Jun 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Zitao Song
Chao Yang
Chaojie Wang
Bo An
Shuang Li
63
4
0
03 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Haoran He
C. Chang
Huazhe Xu
Ling Pan
91
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
9
0
02 Jun 2024
RGFN: Synthesizable Molecular Generation Using GFlowNets
Michal Koziarski
Andrei Rekesh
Dmytro Shevchuk
A. V. D. Sloot
Piotr Gaiñski
Yoshua Bengio
Cheng-Hao Liu
Mike Tyers
Robert A. Batey
54
14
0
01 Jun 2024
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation
Gonccalo R. A. Faria
Sweta Agrawal
António Farinhas
Ricardo Rei
José G. C. de Souza
André F. T. Martins
26
4
0
28 May 2024
Learning diverse attacks on large language models for robust red-teaming and safety tuning
Seanie Lee
Minsu Kim
Lynn Cherif
David Dobre
Juho Lee
...
Kenji Kawaguchi
Gauthier Gidel
Yoshua Bengio
Nikolay Malkin
Moksh Jain
AAML
63
12
0
28 May 2024
Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
Jeff Guo
Philippe Schwaller
Mamba
61
7
0
27 May 2024
Pessimistic Backward Policy for GFlowNets
Hyosoon Jang
Yunhui Jang
Minsu Kim
Jinkyoo Park
Sungsoo Ahn
59
4
0
25 May 2024
Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges
Fahime Khoramnejad
Ekram Hossain
42
7
0
22 May 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Shuai Wang
David W. Zhang
Jia-Hong Huang
S. Rudinac
Monika Kackovic
N. Wijnberg
M. Worring
36
1
0
22 May 2024
Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator
Hartej Soin
Tapas Tripura
Souvik Chakraborty
24
3
0
11 May 2024
Generative Active Learning for the Search of Small-molecule Protein Binders
Maksym Korablyov
Cheng-Hao Liu
Moksh Jain
A. V. D. Sloot
Eric Jolicoeur
...
Marwin H. S. Segler
Michael M. Bronstein
A. Marinier
Mike Tyers
Yoshua Bengio
29
4
0
02 May 2024
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
M. Cretu
Charles Harris
Julien Roy
Emmanuel Bengio
Pietro Lio
Bruno Correia
Julien Roy
Emmanuel Bengio
Pietro Liò
40
3
0
02 May 2024
Markov flow policy -- deep MC
Nitsan Soffair
Gilad Katz
36
0
0
01 May 2024
Towards DNA-Encoded Library Generation with GFlowNets
Michal Koziarski
Mohammed Abukalam
Vedant Shah
Louis Vaillancourt
Doris Alexandra Schuetz
Moksh Jain
A. V. D. Sloot
Mathieu Bourgey
A. Marinier
Yoshua Bengio
34
4
0
15 Apr 2024
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms
Shuai Guo
Jielei Chu
Lei Zhu
Zhaoyu Li
Tianrui Li
AI4CE
45
2
0
08 Apr 2024
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
Yashar Deldjoo
Zhankui He
Julian McAuley
Anton Korikov
Scott Sanner
Arnau Ramisa
René Vidal
M. Sathiamoorthy
Atoosa Kasirzadeh
Silvia Milano
VLM
33
41
0
31 Mar 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
48
24
0
11 Mar 2024
Curiosity-driven Red-teaming for Large Language Models
Zhang-Wei Hong
Idan Shenfeld
Tsun-Hsuan Wang
Yung-Sung Chuang
Aldo Pareja
James R. Glass
Akash Srivastava
Pulkit Agrawal
LRM
39
39
0
29 Feb 2024
Generative AI for Controllable Protein Sequence Design: A Survey
Yiheng Zhu
Zitai Kong
Jialun Wu
Weize Liu
Yuqiang Han
Mingze Yin
Hongxia Xu
Chang-Yu Hsieh
Tingjun Hou
AI4CE
42
6
0
16 Feb 2024
Discrete Probabilistic Inference as Control in Multi-path Environments
T. Deleu
Padideh Nouri
Nikolay Malkin
Doina Precup
Yoshua Bengio
117
28
0
15 Feb 2024
QGFN: Controllable Greediness with Action Values
Elaine Lau
Stephen Zhewen Lu
Ling Pan
Doina Precup
Emmanuel Bengio
111
12
0
07 Feb 2024
Previous
1
2
3
4
5
Next