Resampling Base Distributions of Normalizing Flows

29 October 2021

Vincent Stimper

Bernhard Schölkopf

José Miguel Hernández-Lobato

BDL

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Papers citing "Resampling Base Distributions of Normalizing Flows"

26 / 26 papers shown

Title
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data Maximilian Stupp P. S. Koutsourelakis 40 0 0 29 Apr 2025
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows Alicja Polanska Thibeau Wouters Peter T. H. Pang Kaze K. W. Wong Jason D. McEwen 26 1 0 28 Oct 2024
Controlling for discrete unmeasured confounding in nonlinear causal models Patrick Burauel Frederick Eberhardt Michel Besserve CML 23 0 0 10 Aug 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Diffusive Gibbs Sampling Wenlin Chen Mingtian Zhang Brooks Paige José Miguel Hernández-Lobato David Barber 19 7 0 05 Feb 2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning V. Kanaujia Mathias S. Scheurer Vipul Arora GAN DRL 19 2 0 29 Jan 2024
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 26 4 0 11 Nov 2023
Optimal Budgeted Rejection Sampling for Generative Models Alexandre Verine Muni Sreenivas Pydi Benjamin Négrevergne Y. Chevaleyre 21 3 0 01 Nov 2023
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 16 1 0 26 Sep 2023
Variations and Relaxations of Normalizing Flows Keegan Kelly Lorena Piedras Sukrit Rao David Samuel Roth BDL 27 0 0 08 Sep 2023
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 35 22 0 20 Aug 2023
Learning Distributions via Monte-Carlo Marginalization Chenqiu Zhao Guanfang Dong Anup Basu DRL 30 4 0 11 Aug 2023
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly Jianxiang Feng Matan Atad Ismael Rodríguez M. Durner Stephan Günnemann Rudolph Triebel 22 2 0 03 Jul 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 29 52 0 03 Jul 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 27 10 0 30 May 2023
Squared Neural Families: A New Class of Tractable Density Models Russell Tsuchida Cheng Soon Ong Dino Sejdinovic TPM 26 11 0 22 May 2023
Normalizing flow sampling with Langevin dynamics in the latent space Florentin Coeurdoux N. Dobigeon P. Chainais DRL 15 7 0 20 May 2023
Piecewise Normalizing Flows H. Bevins Will Handley Thomas Gessey-Jones 24 0 0 04 May 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 29 6 0 10 Mar 2023
Training Normalizing Flows with the Precision-Recall Divergence Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 29 1 0 01 Feb 2023
normflows: A PyTorch Package for Normalizing Flows Vincent Stimper David Liu Andrew Campbell V. Berenz Lukas Ryll Bernhard Schölkopf José Miguel Hernández-Lobato AI4CE 22 55 0 26 Jan 2023
Designing losses for data-free training of normalizing flows on Boltzmann distributions Loris Felardos Jérôme Hénin Guillaume Charpiat AI4CE 24 8 0 13 Jan 2023
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 27 77 0 03 Aug 2022
Nonlinear MCMC for Bayesian Machine Learning James Vuckovic 30 2 0 11 Feb 2022
Bootstrap Your Flow Laurence Illing Midgley Vincent Stimper G. Simm José Miguel Hernández-Lobato 25 5 0 22 Nov 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018