Topological Obstructions and How to Avoid Them

12 December 2023

Babak Esmaeili

Robin Walters

Heiko Zimmermann

Jan-Willem van de Meent

AI4CE

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Papers citing "Topological Obstructions and How to Avoid Them"

20 / 20 papers shown

Title
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 78 29 0 26 Jan 2023
Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 69 16 0 07 Jul 2022
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan-Willem van de Meent Robin Walters 73 45 0 24 Apr 2022
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold Kieran A. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam A. Makadia 64 78 0 10 Jun 2021
Disentangling by Subspace Diffusion David Pfau I. Higgins Aleksandar Botev S. Racanière DiffM DRL 53 37 0 23 Jun 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 98 126 0 18 Jun 2020
Equivariant Neural Rendering Emilien Dupont Miguel Angel Bautista Alex Colburn Aditya Sankar Carlos Guestrin J. Susskind Qi Shan 3DH 86 64 0 13 Jun 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 84 157 0 06 Feb 2020
Spherical Text Embedding Yu Meng Jiaxin Huang Guangyuan Wang Chao Zhang Honglei Zhuang Lance M. Kaplan Jiawei Han RALM 52 118 0 04 Nov 2019
Topological Autoencoders Michael Moor Max Horn Bastian Rieck Karsten Borgwardt 66 150 0 03 Jun 2019
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat DRL 62 66 0 30 Mar 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group Mario Lezcano Casado David Martínez-Rubio 50 200 0 24 Jan 2019
Topological Constraints on Homeomorphic Auto-Encoding P. D. Haan Luca Falorsi 37 6 0 27 Dec 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 99 115 0 12 Jul 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 58 605 0 23 May 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 116 384 0 03 Apr 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 114 500 0 11 Feb 2018
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 173 1,946 0 24 Feb 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,197 0 21 May 2015
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 278 12,458 0 24 Jun 2012