Explorations in Homeomorphic Variational Auto-Encoding

12 July 2018

Papers citing "Explorations in Homeomorphic Variational Auto-Encoding"

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Title
Learning symmetries in datasets Veronica Sanz DRL 21 0 0 07 Apr 2025
MatrixNet: Learning over symmetry groups using learned group representations Lucas Laird Circe Hsu Asilata Bapat Robin Walters AI4CE 43 0 0 17 Jan 2025
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 34 1 0 06 Nov 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Johan Mathe Mathilde Papillon Domas Buracas Hansen Lillemark Christian Shewmake Abby Bertics Xavier Pennec Nina Miolane 58 4 0 12 Jul 2024
Equivariant amortized inference of poses for cryo-EM Larissa de Ruijter Gabriele Cesa 44 1 0 01 Jun 2024
Topological Obstructions and How to Avoid Them Babak Esmaeili Robin G. Walters Heiko Zimmermann Jan Willem van de Meent AI4CE 24 3 0 12 Dec 2023
Normed Spaces for Graph Embedding Diaaeldin Taha Wei-Ye Zhao J. M. Riestenberg Michael Strube 45 1 0 03 Dec 2023
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers Takeru Miyato Bernhard Jaeger Max Welling Andreas Geiger ViT 39 14 0 16 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 30 12 0 29 Sep 2023
Learning to Predict 3D Rotational Dynamics from Images of a Rigid Body with Unknown Mass Distribution J. Mason Christine Allen-Blanchette Nicholas Zolman Elizabeth Davison Naomi Leonard 3DH 25 2 0 24 Aug 2023
Equivariant Single View Pose Prediction Via Induced and Restricted Representations Owen Howell David M. Klee Ondrej Biza Linfeng Zhao Robin G. Walters 28 4 0 07 Jul 2023
DUET: 2D Structured and Approximately Equivariant Representations Xavier Suau Federico Danieli Thomas Anderson Keller Arno Blaas Chen Huang Jason Ramapuram Dan Busbridge Luca Zappella 25 3 0 28 Jun 2023
One-shot Imitation Learning via Interaction Warping Ondrej Biza Skye Thompson Kishore Reddy Pagidi Abhinav Kumar Elise van der Pol Robin G. Walters Thomas Kipf Jan Willem van de Meent Lawson L. S. Wong Robert W. Platt 30 13 0 21 Jun 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation Misha Glazunov Apostolis Zarras AAML DRL 13 1 0 16 Jun 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 27 8 0 29 May 2023
Symmetry and Complexity in Object-Centric Deep Active Inference Models Stefano Ferraro Toon Van de Maele Tim Verbelen Bart Dhoedt 26 6 0 14 Apr 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 24 1 0 24 Mar 2023
Geometry-Aware Latent Representation Learning for Modeling Disease Progression of Barrett's Esophagus Vivien van Veldhuizen DRL 30 0 0 17 Mar 2023
MELON: NeRF with Unposed Images in SO(3) A. Levy Mark J. Matthews Matan Sela Gordon Wetzstein Dmitry Lagun 35 1 0 14 Mar 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 23 18 0 27 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 26 32 0 14 Feb 2023
Equivariant Representation Learning in the Presence of Stabilizers Luis Armando ∗. GiovanniLucaMarchetti Danica Kragic D. Jarnikov Mike Holenderski 29 0 0 12 Jan 2023
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation Octave Mariotti Oisin Mac Aodha Hakan Bilen 20 8 0 01 Dec 2022
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin G. Walters Robert W. Platt AAML 32 33 0 16 Nov 2022
Synthetic Data Supervised Salient Object Detection Zhenyu Wu Lin Wang W. Wang Tengfei Shi Chenglizhao Chen Aimin Hao Shuo Li 23 22 0 25 Oct 2022
Unsupervised Learning of Equivariant Structure from Sequences Takeru Miyato Masanori Koyama Kenji Fukumizu 15 12 0 12 Oct 2022
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders Lisa Bonheme M. Grzes DRL 28 6 0 26 Sep 2022
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body J. Mason Christine Allen-Blanchette Nicholas Zolman Elizabeth Davison Naomi Ehrich Leonard 3DH AI4CE 35 8 0 23 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 26 21 0 15 Sep 2022
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders Stefan C. Schonsheck Scott Mahan T. Klock A. Cloninger Rongjie Lai DRL 22 5 0 22 Aug 2022
Defining an action of SO(d)-rotations on images generated by projections of d-dimensional objects: Applications to pose inference with Geometric VAEs Nicolas Legendre K. D. Duc Nina Miolane 21 0 0 23 Jul 2022
$Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images$ Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 21 4 0 18 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 32 14 0 07 Jul 2022
Equivariant Priors for Compressed Sensing with Unknown Orientation Anna Kuzina Kumar Pratik F. V. Massoli Arash Behboodi 17 2 0 28 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 34 28 0 16 Jun 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions Ryan Lopez P. Atzberger AI4CE 24 7 0 10 Jun 2022
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan Willem van de Meent Robin G. Walters 23 42 0 24 Apr 2022
Transformation Coding: Simple Objectives for Equivariant Representations Mehran Shakerinava A. Mondal Siamak Ravanbakhsh OffRL 16 0 0 19 Feb 2022
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 24 22 0 24 Nov 2021
On the Latent Holes of VAEs for Text Generation Ruizhe Li Xutan Peng Chenghua Lin 49 4 0 07 Oct 2021
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint Paul Hagemann J. Hertrich Gabriele Steidl BDL 18 36 0 23 Sep 2021
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data Y. Nashed Frédéric Poitevin Harshit Gupta G. Woollard Michael Kagan Chuck Yoon Daniel Ratner 3DV 11 7 0 07 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 46 17 0 30 Jun 2021
On the Generative Utility of Cyclic Conditionals Chang-Shu Liu Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 37 3 0 30 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 22 10 0 25 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 23 20 0 01 Jun 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 25 61 0 30 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 24 6 0 10 Apr 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 18 10 0 14 Mar 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators Diane Bouchacourt Mark Ibrahim Stéphane Deny 11 22 0 10 Feb 2021