Explorations in Homeomorphic Variational Auto-Encoding

12 July 2018

Papers citing "Explorations in Homeomorphic Variational Auto-Encoding"

50 / 86 papers shown

Title
PESTO: Real-Time Pitch Estimation with Self-supervised Transposition-equivariant ObjectiveTransactions of the International Society for Music Information Retrieval (TISMIR), 2025 Alain Riou Bernardo Torres Ben Hayes Stefan Lattner Gaëtan Hadjeres Gaël Richard Geoffroy Peeters 204 3 0 02 Aug 2025
Riemannian generative decoder Andreas Bjerregaard Søren Hauberg Anders Krogh DRL DiffM 231 2 0 23 Jun 2025
Learning symmetries in datasets Veronica Sanz DRL 132 0 0 07 Apr 2025
MatrixNet: Learning over symmetry groups using learned group representationsNeural Information Processing Systems (NeurIPS), 2025 Lucas Laird Circe Hsu Asilata Bapat Robin Walters AI4CE 180 1 0 17 Jan 2025
Approximate Equivariance in Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 469 5 0 06 Nov 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Sophia Sanborn Johan Mathe Louisa Cornelis Abby Bertics ... Hansen Lillemark Christian Shewmake Fatih Dinc Xavier Pennec Nina Miolane 300 14 0 12 Jul 2024
Equivariant amortized inference of poses for cryo-EM Larissa de Ruijter Gabriele Cesa 149 1 0 01 Jun 2024
Topological Obstructions and How to Avoid ThemNeural Information Processing Systems (NeurIPS), 2023 Babak Esmaeili Robin Walters Heiko Zimmermann Jan-Willem van de Meent AI4CE 181 3 0 12 Dec 2023
Normed Spaces for Graph Embedding Diaaeldin Taha Wei Zhao J. M. Riestenberg Michael Strube 200 1 0 03 Dec 2023
GTA: A Geometry-Aware Attention Mechanism for Multi-View TransformersInternational Conference on Learning Representations (ICLR), 2023 Takeru Miyato Bernhard Jaeger Max Welling Andreas Geiger ViT 453 29 0 16 Oct 2023
Latent Space Symmetry DiscoveryInternational Conference on Machine Learning (ICML), 2023 Jianke Yang Nima Dehmamy Robin Walters Rose Yu 275 23 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 211 7 0 24 Aug 2023
Equivariant Single View Pose Prediction Via Induced and Restricted RepresentationsNeural Information Processing Systems (NeurIPS), 2023 Owen Howell David Klee Ondrej Biza Linfeng Zhao Robin Walters 191 7 0 07 Jul 2023
DUET: 2D Structured and Approximately Equivariant RepresentationsInternational Conference on Machine Learning (ICML), 2023 Xavier Suau Federico Danieli Thomas Anderson Keller Arno Blaas Chen Huang Jason Ramapuram Dan Busbridge Luca Zappella 160 3 0 28 Jun 2023
One-shot Imitation Learning via Interaction WarpingConference on Robot Learning (CoRL), 2023 Ondrej Biza Skye Thompson Kishore Reddy Pagidi Abhinav Kumar Elise van der Pol Robin Walters Thomas Kipf Jan-Willem van de Meent Lawson L. S. Wong Robert Platt 314 21 0 21 Jun 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent RepresentationConference on Uncertainty in Artificial Intelligence (UAI), 2023 Misha Glazunov Apostolis Zarras AAML DRL 123 2 0 16 Jun 2023
Neural Fourier Transform: A General Approach to Equivariant Representation LearningInternational Conference on Learning Representations (ICLR), 2023 Masanori Koyama Kenji Fukumizu Kunihiko Miyoshi Takeru Miyato 254 9 0 29 May 2023
Symmetry and Complexity in Object-Centric Deep Active Inference ModelsInterface Focus (IF), 2023 Stefano Ferraro Toon Van de Maele Tim Verbelen Bart Dhoedt 139 7 0 14 Apr 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 171 1 0 24 Mar 2023
Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders Vivien van Veldhuizen Sharvaree P. Vadgama Onno J. de Boer Sybren Meijer Erik Bekkers DRL 252 0 0 17 Mar 2023
MELON: NeRF with Unposed Images in SO(3)International Conference on 3D Vision (3DV), 2023 Axel Levy Mark J. Matthews Matan Sela Gordon Wetzstein Dmitry Lagun 139 3 0 14 Mar 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose PredictionInternational Conference on Learning Representations (ICLR), 2023 David Klee Ondrej Biza Robert Platt Robin Walters 182 23 0 27 Feb 2023
Self-supervised learning of Split Invariant Equivariant representationsInternational Conference on Machine Learning (ICML), 2023 Q. Garrido Laurent Najman Yann LeCun SSL 258 40 0 14 Feb 2023
Equivariant Representation Learning in the Presence of Stabilizers Luis Armando ∗. GiovanniLucaMarchetti Danica Kragic D. Jarnikov Mike Holenderski 167 0 0 12 Jan 2023
ViewNet: Unsupervised Viewpoint Estimation from Conditional GenerationIEEE International Conference on Computer Vision (ICCV), 2021 Octave Mariotti Oisin Mac Aodha Hakan Bilen 172 8 0 01 Dec 2022
The Surprising Effectiveness of Equivariant Models in Domains with Latent SymmetryInternational Conference on Learning Representations (ICLR), 2022 Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin Walters Robert Platt AAML 240 39 0 16 Nov 2022
Synthetic Data Supervised Salient Object DetectionACM Multimedia (ACM MM), 2022 Zhenyu Wu Lin Wang Wei Wang Tengfei Shi Chenglizhao Chen Aimin Hao Shuo Li 160 30 0 25 Oct 2022
Unsupervised Learning of Equivariant Structure from SequencesNeural Information Processing Systems (NeurIPS), 2022 Takeru Miyato Masanori Koyama Kenji Fukumizu 168 14 0 12 Oct 2022
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders Lisa Bonheme M. Grzes DRL 198 8 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 293 9 0 23 Sep 2022
A Geometric Perspective on Variational AutoencodersNeural Information Processing Systems (NeurIPS), 2022 Clément Chadebec S. Allassonnière DRL 193 29 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 153 7 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 107 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 Klee Ondrej Biza Robert Platt Robin Walters 223 4 0 18 Jul 2022
Equivariant Representation Learning via Class-Pose DecompositionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Giovanni Luca Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 259 16 0 07 Jul 2022
Equivariant Priors for Compressed Sensing with Unknown OrientationInternational Conference on Machine Learning (ICML), 2022 Anna Kuzina Kumar Pratik F. V. Massoli Arash Behboodi 212 3 0 28 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use CaseNeural Information Processing Systems (NeurIPS), 2022 Clément Chadebec Louis J. Vincent S. Allassonnière DRL 182 37 0 16 Jun 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension ReductionsJournal of Computational Physics (JCP), 2022 Ryan Lopez P. Atzberger AI4CE 319 9 0 10 Jun 2022
Learning Symmetric Embeddings for Equivariant World ModelsInternational Conference on Machine Learning (ICML), 2022 Jung Yeon Park Ondrej Biza Linfeng Zhao Jan-Willem van de Meent Robin Walters 268 48 0 24 Apr 2022
Transformation Coding: Simple Objectives for Equivariant Representations Mehran Shakerinava A. Mondal Siamak Ravanbakhsh OffRL 132 0 0 19 Feb 2022
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 380 27 0 24 Nov 2021
On the Latent Holes of VAEs for Text Generation Ruizhe Li Xutan Peng Chenghua Lin 187 5 0 07 Oct 2021
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint Paul Hagemann J. Hertrich Gabriele Steidl BDL 435 44 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 115 7 0 07 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional AssaysNeural Information Processing Systems (NeurIPS), 2021 Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 269 22 0 30 Jun 2021
On the Generative Utility of Cyclic ConditionalsNeural Information Processing Systems (NeurIPS), 2021 Yu Xie Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 185 3 0 30 Jun 2021
On Incorporating Inductive Biases into VAEsInternational Conference on Learning Representations (ICLR), 2021 Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 233 11 0 25 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 138 26 0 01 Jun 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational AutoencoderIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 317 82 0 30 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav Lav Varshney 181 6 0 10 Apr 2021