Explorations in Homeomorphic Variational Auto-Encoding

12 July 2018

Papers citing "Explorations in Homeomorphic Variational Auto-Encoding"

34 / 84 papers shown

Title
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction Koby Bibas Gili Weiss-Dicker Dana Cohen Noa Cahan H. Greenspan 14 7 0 10 Jan 2021
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems Ryan Lopez P. Atzberger DRL AI4CE 31 13 0 07 Dec 2020
Joint Estimation of Image Representations and their Lie Invariants Christine Allen-Blanchette Kostas Daniilidis 13 0 0 05 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 32 0 0 04 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 35 34 0 03 Dec 2020
What is a meaningful representation of protein sequences? N. Detlefsen Søren Hauberg Wouter Boomsma 10 111 0 28 Nov 2020
Deep Autoencoders: From Understanding to Generalization Guarantees Romain Cosentino Randall Balestriero Richard Baraniuk B. Aazhang 11 5 0 20 Sep 2020
Manifolds for Unsupervised Visual Anomaly Detection Louise Naud Alexander Lavin DRL 10 6 0 19 Jun 2020
Neural Ordinary Differential Equations on Manifolds Luca Falorsi Patrick Forré BDL AI4CE 14 33 0 11 Jun 2020
The Power Spherical distribution Nicola De Cao Wilker Aziz 22 28 0 08 Jun 2020
Hyperbolic Manifold Regression Gian Maria Marconi Lorenzo Rosasco C. Ciliberto 16 6 0 28 May 2020
Disentanglement with Hyperspherical Latent Spaces using Diffusion Variational Autoencoders L. A. P. Rey DRL CoGe 15 5 0 19 Mar 2020
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 57 176 0 16 Feb 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling Will Grathwohl Kuan-Chieh Jackson Wang J. Jacobsen David Duvenaud R. Zemel 13 14 0 13 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 10 153 0 06 Feb 2020
Chart Auto-Encoders for Manifold Structured Data Stefan C. Schonsheck Jie Chen Rongjie Lai DRL GNN 14 27 0 20 Dec 2019
No Representation without Transformation Giorgio Giannone Saeed Saremi Jonathan Masci Christian Osendorfer BDL DRL 14 2 0 09 Dec 2019
Representing Closed Transformation Paths in Encoded Network Latent Space Marissa Connor Christopher Rozell 3DPC DRL 20 28 0 05 Dec 2019
A Neural Rendering Framework for Free-Viewpoint Relighting Zhaoyu Chen Anpei Chen Guli Zhang Chengyuan Wang Yu Ji Kiriakos N. Kutulakos Jingyi Yu 24 50 0 26 Nov 2019
Variational Integrator Networks for Physically Structured Embeddings Steindór Sæmundsson Alexander Terenin Katja Hofmann M. Deisenroth GNN AI4CE 15 49 0 21 Oct 2019
Increasing Expressivity of a Hyperspherical VAE Tim R. Davidson Jakub M. Tomczak E. Gavves 11 6 0 07 Oct 2019
Explicitly disentangling image content from translation and rotation with spatial-VAE Tristan Bepler Ellen D. Zhong Kotaro Kelley E. Brignole Bonnie Berger CoGe DRL 27 74 0 25 Sep 2019
Deferred Neural Rendering: Image Synthesis using Neural Textures Justus Thies Michael Zollhöfer Matthias Nießner 3DH 13 673 0 28 Apr 2019
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres Shuai Liao E. Gavves Cees G. M. Snoek 21 64 0 10 Apr 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 29 2 0 10 Mar 2019
Reparameterizing Distributions on Lie Groups Luca Falorsi P. D. Haan Tim R. Davidson Patrick Forré BDL DRL 29 83 0 07 Mar 2019
Invariant-equivariant representation learning for multi-class data Ilya Feige 28 10 0 08 Feb 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 34 172 0 17 Jan 2019
Topological Constraints on Homeomorphic Auto-Encoding P. D. Haan Luca Falorsi 11 6 0 27 Dec 2018
On the Continuity of Rotation Representations in Neural Networks Yi Zhou Connelly Barnes Jingwan Lu Jimei Yang Hao Li 3DH 9 1,253 0 17 Dec 2018
Embedding-reparameterization procedure for manifold-valued latent variables in generative models Eugene Golikov M. Kretov DRL 16 0 0 06 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings Carlos Esteves Avneesh Sud Zhengyi Luo Kostas Daniilidis A. Makadia 3DPC 31 22 0 06 Dec 2018
DeepVoxels: Learning Persistent 3D Feature Embeddings Vincent Sitzmann Justus Thies Felix Heide Matthias Nießner Gordon Wetzstein Michael Zollhöfer SSL 3DPC MDE 30 666 0 03 Dec 2018