Stochastic Normalizing Flows

16 February 2020

Frank Noé

Papers citing "Stochastic Normalizing Flows"

22 / 122 papers shown

Title
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint Paul Hagemann J. Hertrich Gabriele Steidl BDL 18 36 0 23 Sep 2021
Learning the temporal evolution of multivariate densities via normalizing flows Yubin Lu R. Maulik Ting Gao Felix Dietrich Ioannis G. Kevrekidis Jinqiao Duan 11 22 0 29 Jul 2021
Monte Carlo Variational Auto-Encoders Achille Thin Nikita Kotelevskii Arnaud Doucet Alain Durmus Eric Moulines Maxim Panov BDL DRL 11 44 0 30 Jun 2021
Closed-form Continuous-time Neural Models Ramin Hasani Mathias Lechner Alexander Amini Lucas Liebenwein Aaron Ray Max Tschaikowski G. Teschl Daniela Rus PINN AI4TS 18 82 0 25 Jun 2021
CAFLOW: Conditional Autoregressive Flows Georgios Batzolis M. Carioni Christian Etmann S. Afyouni Zoe Kourtzi Carola Bibiane Schönlieb 6 2 0 04 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong Son-Hy Risi Kondor 13 17 0 02 Jun 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 8 1 0 30 May 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 14 60 0 27 May 2021
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform Achille Thin Yazid Janati Sylvain Le Corff Charles Ollion Arnaud Doucet Alain Durmus Eric Moulines C. Robert 15 7 0 17 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 477 0 08 Mar 2021
Annealed Flow Transport Monte Carlo Michael Arbel A. G. Matthews Arnaud Doucet 20 69 0 15 Feb 2021
Neural SDEs as Infinite-Dimensional GANs Patrick Kidger James Foster Xuechen Li Harald Oberhauser Terry Lyons DiffM 6 141 0 06 Feb 2021
Exact Langevin Dynamics with Stochastic Gradients Adrià Garriga-Alonso Vincent Fortuin BDL 13 31 0 02 Feb 2021
Introduction to Normalizing Flows for Lattice Field Theory M. S. Albergo D. Boyda D. Hackett G. Kanwar Kyle Cranmer S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 19 58 0 20 Jan 2021
Training Invertible Linear Layers through Rank-One Perturbations Andreas Krämer Jonas Köhler Frank Noé 8 0 0 14 Oct 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows Didrik Nielsen P. Jaini Emiel Hoogeboom Ole Winther Max Welling TPM BDL DRL 23 88 0 06 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 116 16,850 0 19 Jun 2020
STEER: Simple Temporal Regularization For Neural ODEs Arna Ghosh Harkirat Singh Behl Emilien Dupont Philip H. S. Torr Vinay P. Namboodiri BDL AI4TS 14 73 0 18 Jun 2020
Latent Transformations for Discrete-Data Normalising Flows Rob D. Hesselink Wilker Aziz DRL 11 1 0 11 Jun 2020
The Power Spherical distribution Nicola De Cao Wilker Aziz 14 28 0 08 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 25 444 0 18 May 2020
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU Patrick Kidger Terry Lyons 10 83 0 03 Jan 2020