Taming VAEs

1 October 2018

Danilo Jimenez Rezende

Papers citing "Taming VAEs"

50 / 73 papers shown

Title
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 28 0 0 09 Jun 2025
Robust Neural Processes for Noisy Data Chen Shapira Dan Rosenbaum 115 2 0 03 Nov 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 106 1 0 20 Mar 2024
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling J. Demange-Chryst François Bachoc Jérome Morio Timothé Krauth 68 2 0 13 Oct 2023
On the Adversarial Robustness of Generative Autoencoders in the Latent Space Mingfei Lu Badong Chen AAML DRL 70 3 0 05 Jul 2023
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 160 7 0 25 May 2023
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space Jun Yamada Chia-Man Hung J. Collins Ioannis Havoutis Ingmar Posner 50 8 0 06 Mar 2023
Learning Manifold Dimensions with Conditional Variational Autoencoders Yijia Zheng Tong He Yixuan Qiu David Wipf DRL 94 21 0 23 Feb 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 97 617 0 10 Jan 2023
FMCW Radar Sensing for Indoor Drones Using Learned Representations A. Safa Tim Verbelen Ozan Çatal Toon Van de Maele Matthias Hartmann Bart Dhoedt A. Bourdoux 19 3 0 06 Jan 2023
μSplit: efficient image decomposition for microscopy data Ashesh Ashesh Alexander Krull M. D. Sante F. Pasqualini Florian Jug 85 4 0 23 Nov 2022
Machine-Learning Compression for Particle Physics Discoveries J. Collins Yifeng Huang S. Knapen Benjamin Nachman D. Whiteson 79 4 0 20 Oct 2022
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images Yafei Yang Bo Yang OCL 155 18 0 05 Oct 2022
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models Stefano Ferraro Toon Van de Maele Pietro Mazzaglia Tim Verbelen Bart Dhoedt 3DV OCL DRL 84 8 0 16 Sep 2022
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi Yusuke Iwasawa Wataru Kumagai Yutaka Matsuo BDL SyDa 85 2 0 15 Sep 2022
The Transitive Information Theory and its Application to Deep Generative Models Trung Ngo Trong Najwa Laabid Ville Hautamaki M. Heinäniemi DRL 95 0 0 09 Mar 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 2022
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Laurynas Karazija Iro Laina Christian Rupprecht 3DV VOS 149 90 0 19 Nov 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision I. Higgins Peter Wirnsberger Andrew Jaegle Aleksandar Botev 92 8 0 10 Nov 2021
Speaker Generation Daisy Stanton Matt Shannon Soroosh Mariooryad RJ Skerry-Ryan Eric Battenberg Tom Bagby David Kao 96 30 0 07 Nov 2021
Unsupervised Object Learning via Common Fate Matthias Tangemann Steffen Schneider Julius von Kügelgen Francesco Locatello Peter V. Gehler Thomas Brox Matthias Kümmerer Matthias Bethge Bernhard Schölkopf OCL 108 25 0 13 Oct 2021
An Exploration of Learnt Representations of W Jets J. Collins DRL 92 13 0 22 Sep 2021
Constellation: Learning relational abstractions over objects for compositional imagination James C. R. Whittington Rishabh Kabra Loic Matthey Christopher P. Burgess Alexander Lerchner OCL GNN 69 6 0 23 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 100 18 0 30 Jun 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 74 1 0 23 Jun 2021
Vector Quantized Models for Planning Sherjil Ozair Yazhe Li Ali Razavi Ioannis Antonoglou Aaron van den Oord Oriol Vinyals OffRL 94 51 0 08 Jun 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition Rishabh Kabra Daniel Zoran Goker Erdogan Loic Matthey Antonia Creswell M. Botvinick Alexander Lerchner Christopher P. Burgess OCL 125 79 0 07 Jun 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 96 120 0 20 Apr 2021
Boltzmann Tuning of Generative Models Victor Berger Michele Sebag 57 0 0 12 Apr 2021
Neighbor Embedding Variational Autoencoder Renfei Tu Yang Liu Yongzeng Xue Cheng Wang Maozu Guo BDL DRL 62 0 0 21 Mar 2021
Variable-rate discrete representation learning Sander Dieleman C. Nash Jesse Engel Karen Simonyan BDL DRL 82 24 0 10 Mar 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework Tao Yang Xuanchi Ren Yuwang Wang W. Zeng Nanning Zheng CoGe DRL 80 30 0 20 Feb 2021
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention Peng Liu Yuewen Cao Songxiang Liu Na Hu Guangzhi Li Chao Weng Jane Polak Scowcroft 95 22 0 12 Feb 2021
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation Felix Frank A. Paraschos Patrick van der Smagt Botond Cseke 65 40 0 29 Jan 2021
Multi-type Disentanglement without Adversarial Training Lei Sha Thomas Lukasiewicz DRL 129 12 0 16 Dec 2020
Counterfactual Credit Assignment in Model-Free Reinforcement Learning Thomas Mesnard T. Weber Fabio Viola S. Thakoor Alaa Saade ... A. Guez Éric Moulines Marcus Hutter Lars Buesing Rémi Munos CML OffRL 111 58 0 18 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 95 45 0 15 Nov 2020
Factorized Gaussian Process Variational Autoencoders Metod Jazbec Michael Pearce Vincent Fortuin BDL DRL 78 7 0 14 Nov 2020
On the Sentence Embeddings from Pre-trained Language Models Bohan Li Hao Zhou Junxian He Mingxuan Wang Yiming Yang Lei Li 85 222 0 02 Nov 2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis Huajie Shao Zhisheng Xiao Shuochao Yao Aston Zhang Shengzhong Liu Tarek Abdelzaher DRL 103 16 0 31 Oct 2020
Scalable Gaussian Process Variational Autoencoders Metod Jazbec Matthew Ashman Vincent Fortuin Michael Pearce Stephan Mandt Gunnar Rätsch DRL BDL 89 29 0 26 Oct 2020
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 307 69 0 23 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 126 83 0 06 Oct 2020
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang Alireza Makhzani Yanshuai Cao Roger C. Grosse EGVM DRL 95 27 0 15 Aug 2020
Modal Uncertainty Estimation via Discrete Latent Representation Di Qiu L. Lui UQCV 47 5 0 25 Jul 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 107 95 0 23 Jun 2020
A Tutorial on VAEs: From Bayes' Rule to Lossless Compression Ronald Yu BDL 62 24 0 18 Jun 2020
A Generalised Linear Model Framework for $β$ -Variational Autoencoders based on Exponential Dispersion Families Robert Sicks R. Korn Stefanie Schwaar 84 12 0 11 Jun 2020
Probing Emergent Semantics in Predictive Agents via Question Answering Abhishek Das Federico Carnevale Hamza Merzic Laura Rimell R. Schneider ... Alden Hung Arun Ahuja S. Clark Greg Wayne Felix Hill 88 18 0 01 Jun 2020
Hierarchical Quantized Autoencoders Will Williams Sam Ringer T. Ash John Hughes D. Macleod Jamie Dougherty BDL DRL 93 66 0 19 Feb 2020