DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

8 February 2023

Leo J. Lee

Papers citing "DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets"

20 / 20 papers shown

Title
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey G. Subbaraj Artem Cherkasov Martin Ester Emmanuel Bengio AI4CE 74 1 0 08 Mar 2025
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization Seungheun Baek Soyon Park Y. T. Chok Mogan Gim Jaewoo Kang DRL 42 0 0 31 Jan 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Biwei Huang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 50 0 0 21 Jan 2025
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images Chen Liu Ke Xu Liangbo L. Shen Guillaume Huguet Zilong Wang ... Danilo Bzdok Jay Stewart Jay C. Wang L. V. Priore Smita Krishnaswamy 67 0 0 08 Jan 2025
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots Vincent Guan Joseph Janssen Hossein Rahmani Andrew Warren Stephen X. Zhang Elina Robeva Geoffrey Schiebinger DiffM 41 2 0 30 Oct 2024
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev Nikita Morozov S. Samsonov D. Tiapkin 16 0 0 20 Oct 2024
GFlowNet Pretraining with Inexpensive Rewards Mohit Pandey G. Subbaraj Emmanuel Bengio AI4CE 47 3 0 15 Sep 2024
Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang Bao Duong Thin Nguyen CML 58 0 0 06 Jul 2024
Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons Vyacheslav Kungurtsev Fadwa Idlahcen Petr Rysavý Pavel Rytír Ales Wodecki 50 1 0 25 Jun 2024
Improving GFlowNets with Monte Carlo Tree Search Nikita Morozov D. Tiapkin S. Samsonov Alexey Naumov Dmitry Vetrov 59 1 0 19 Jun 2024
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 42 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 42 3 0 05 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 86 6 0 03 Jun 2024
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms Shuai Guo Jielei Chu Lei Zhu Zhaoyu Li Tianrui Li AI4CE 43 2 0 08 Apr 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
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems Trang Nguyen Alexander Tong Kanika Madan Yoshua Bengio Dianbo Liu 27 4 0 05 Oct 2023
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 166 0 31 Jan 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 40 72 0 06 Dec 2021
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 74 101 0 09 Aug 2014