Multi-Fidelity Active Learning with GFlowNets

Multi-Fidelity Active Learning with GFlowNets

20 June 2023

Alex Hernandez-Garcia

Moksh Jain

Papers citing "Multi-Fidelity Active Learning with GFlowNets"

17 / 17 papers shown

Title
GFlowNets for Active Learning Based Resource Allocation in Next Generation Wireless Networks Charbel Bou Chaaya M. Bennis 42 0 0 08 May 2025
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann D. Wu G. Heinzelmann Michael K. Gilson Rose Yu AI4CE 42 0 0 15 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
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets Piotr Gaiñski Michał Koziarski Krzysztof Maziarz Marwin H. S. Segler Jacek Tabor Marek Śmieja 52 3 0 26 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 101 10 0 09 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 49 14 0 01 Jun 2024
Empowering Biomedical Discovery with AI Agents Shanghua Gao Ada Fang Yepeng Huang Valentina Giunchiglia Ayush Noori Jonathan Richard Schwarz Yasha Ektefaie Jovana Kondic Marinka Zitnik LLMAG AI4CE 46 67 0 03 Apr 2024
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling Peter Eckmann D. Wu G. Heinzelmann Michael K. Gilson Rose Yu AI4CE 36 4 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
Multi-Fidelity Methods for Optimization: A Survey Ke Li Fan Li AI4CE 35 6 0 15 Feb 2024
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
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 34 41 0 04 Oct 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 37 22 0 02 Mar 2023
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization Jose Pablo Folch Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 36 23 0 11 Nov 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 167 0 31 Jan 2022
Quality-Diversity Optimization: a novel branch of stochastic optimization Konstantinos Chatzilygeroudis Antoine Cully Vassilis Vassiliades Jean-Baptiste Mouret 65 91 0 08 Dec 2020
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017