Rectangular Flows for Manifold Learning

Rectangular Flows for Manifold Learning

2 June 2021

Anthony L. Caterini

G. Loaiza-Ganem

John P. Cunningham

Papers citing "Rectangular Flows for Manifold Learning"

18 / 18 papers shown

Title
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 64 0 0 03 Jan 2025
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 23 0 0 25 Oct 2024
Canonical normalizing flows for manifold learning Kyriakos Flouris E. Konukoglu DRL 62 7 0 19 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 26 1 0 10 Oct 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 48 0 0 26 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 23 6 0 04 Aug 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 28 8 0 02 Jun 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 26 22 0 12 Apr 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 16 9 0 24 Feb 2023
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving Angad Singh Omar Makhlouf Maximilian Igl Joao Messias Arnaud Doucet Shimon Whiteson 47 2 0 14 Dec 2022
Denoising Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 36 5 0 30 Nov 2022
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds Jesse C. Cresswell Brendan Leigh Ross G. Loaiza-Ganem H. Reyes-González Marco Letizia Anthony L. Caterini 19 36 0 23 Nov 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 39 39 0 06 Jul 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk Rafał Michaluk Łukasz Garncarek Przemysław Spurek Jacek Tabor Adam Goliñski 35 26 0 29 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 35 19 0 06 Jun 2022
Flowification: Everything is a Normalizing Flow Bálint Máté Samuel Klein T. Golling Franccois Fleuret 23 3 0 30 May 2022
Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini G. Loaiza-Ganem OODD 24 15 0 22 Sep 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020