Embarrassingly Parallel GFlowNets

Embarrassingly Parallel GFlowNets

5 June 2024

Luiz Max Carvalho

Papers citing "Embarrassingly Parallel GFlowNets"

16 / 16 papers shown

Title
Compositional Sculpting of Iterative Generative Processes Yixuan Wang Sebastiaan De Peuter Mingtong Zhang Vikas Garg Samuel Kaski Tommi Jaakkola DiffM 61 14 0 28 Sep 2023
GFlowNet-EM for learning compositional latent variable models J. E. Hu Nikolay Malkin Moksh Jain Katie Everett Alexandros Graikos Yoshua Bengio CoGe 65 40 0 13 Feb 2023
Robust Scheduling with GFlowNets David W. Zhang Corrado Rainone M. Peschl Roberto Bondesan 73 56 0 17 Jan 2023
Parallel MCMC Without Embarrassing Failures Daniel Augusto R. M. A. de Souza Diego Mesquita Samuel Kaski Luigi Acerbi 86 11 0 22 Feb 2022
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 94 327 0 08 Jun 2021
QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning Maxime Vono Vincent Plassier Alain Durmus Aymeric Dieuleveut Eric Moulines FedML 53 36 0 01 Jun 2021
DiBS: Differentiable Bayesian Structure Learning Lars Lorch Jonas Rothfuss Bernhard Schölkopf Andreas Krause 43 87 0 25 May 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 59 141 0 26 Feb 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 178 51 0 20 Oct 2020
Learn distributed GAN with Temporary Discriminators Hui Qu Yikai Zhang Qi Chang Zhennan Yan Chao Chen Dimitris N. Metaxas FedML 36 16 0 17 Jul 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 64 79 0 29 May 2020
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 228 7,638 0 01 Oct 2018
Merging MCMC Subposteriors through Gaussian-Process Approximations Christopher Nemeth Chris Sherlock 57 50 0 27 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 2016
Parallelizing MCMC with Random Partition Trees Xiangyu Wang Fangjian Guo Katherine A. Heller David B. Dunson 80 76 0 10 Jun 2015
Asymptotically Exact, Embarrassingly Parallel MCMC Willie Neiswanger Chong-Jun Wang Eric Xing FedML 83 330 0 19 Nov 2013