The continuous Bernoulli: fixing a pervasive error in variational autoencoders

16 July 2019

Papers citing "The continuous Bernoulli: fixing a pervasive error in variational autoencoders"

45 / 45 papers shown

Title
An Introduction to Discrete Variational Autoencoders Alan Jeffares Liyuan Liu DRL BDL CML 36 0 0 15 May 2025
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings Yanis Basso-Bert Anca Molnos Romain Lemaire William Guicquero Antoine Dupret BDL 56 0 0 13 Mar 2025
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 44 0 0 01 Oct 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm Eli Sennesh Hao Wu Tommaso Salvatori 34 0 0 11 Aug 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 26 0 0 13 Mar 2024
Auto-encoding GPS data to reveal individual and collective behaviour Saint-Clair Chabert-Liddell Nicolas Bez Pierre Gloaguen Sophie Donnet Stéphanie Mahévas 15 1 0 01 Dec 2023
A behavioural transformer for effective collaboration between a robot and a non-stationary human Ruaridh Mon-Williams Theodoros Stouraitis S. Vijayakumar 24 1 0 25 Jul 2023
Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning G. Miloshevich D. Lucente P. Yiou F. Bouchet BDL 24 7 0 18 Jul 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models Yule Wang Zijing Wu Chengrui Li Anqi Wu DiffM 30 11 0 09 Jun 2023
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models Bo-wen Li Alexandar J. Thomson Matthew M. Engelhard David Page David Page BDL AI4CE 19 0 0 27 May 2023
Real-Time Variational Method for Learning Neural Trajectory and its Dynamics Matthew Dowling Yuan Zhao Il Memming Park BDL OffRL 21 6 0 18 May 2023
Self-Distillation for Gaussian Process Regression and Classification Kenneth Borup L. Andersen 11 2 0 05 Apr 2023
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model T. Templin Milad Memarzadeh W. Vinci P. A. Lott A. A. Asanjan Anthony Alexiades Armenakas E. Rieffel DRL 16 5 0 22 Mar 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 19 5 0 13 Feb 2023
FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcription Frank Cwitkowitz T. Hirvonen Anssi Klapuri 22 3 0 06 Dec 2022
Deep equilibrium models as estimators for continuous latent variables Russell Tsuchida Cheng Soon Ong 30 8 0 11 Nov 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 29 27 0 02 Sep 2022
Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial Yang Zhi-Han BDL DRL 27 5 0 16 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 21 6 0 08 Aug 2022
On the Normalizing Constant of the Continuous Categorical Distribution E. Gordon-Rodríguez G. Loaiza-Ganem Andres Potapczynski John P. Cunningham 19 2 0 28 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 14 28 0 14 Apr 2022
DBCal: Density Based Calibration of classifier predictions for uncertainty quantification A. Hagen K. Pazdernik Nicole LaHaye Marjolein Oostrom UQCV 10 2 0 01 Apr 2022
Energy-Based Models for Functional Data using Path Measure Tilting Jen Ning Lim Sebastian J. Vollmer Lorenz Wolf Andrew Duncan 21 3 0 04 Feb 2022
Robust outlier detection by de-biasing VAE likelihoods Kushal Chauhan Barath Mohan Umapathi Pradeep Shenoy Manish Gupta D. Sridharan DRL 29 10 0 19 Aug 2021
Sparse Communication via Mixed Distributions António Farinhas Wilker Aziz Vlad Niculae André F. T. Martins 23 3 0 05 Aug 2021
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection Bang Xiang Yong Tim Pearce Alexandra Brintrup OODD UQCV 8 6 0 28 Jul 2021
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan Willem van de Meent BDL 24 20 0 21 Jun 2021
Model Selection for Bayesian Autoencoders Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 12 12 0 11 Jun 2021
Probabilistic task modelling for meta-learning Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 18 5 0 09 Jun 2021
Neural Feature Search for RGB-Infrared Person Re-Identification Yehansen Chen Lin Wan Zhihang Li Qianyan Jing Zongyuan Sun 39 138 0 06 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 478 0 08 Mar 2021
Certifiably Robust Variational Autoencoders Ben Barrett A. Camuto M. Willetts Tom Rainforth AAML DRL 29 15 0 15 Feb 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 14 37 0 31 Dec 2020
Learning a Deep Generative Model like a Program: the Free Category Prior Eli Sennesh NAI BDL 9 0 0 22 Nov 2020
Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning E. Gordon-Rodríguez G. Loaiza-Ganem Geoff Pleiss John P. Cunningham OOD UQCV 15 59 0 10 Nov 2020
Geometry-Aware Hamiltonian Variational Auto-Encoder Clément Chadebec Clément Mantoux S. Allassonnière DRL 12 15 0 22 Oct 2020
Smaller World Models for Reinforcement Learning Jan Robine Tobias Uelwer Stefan Harmeling DRL 16 3 0 12 Oct 2020
Avoiding Side Effects in Complex Environments Alexander Matt Turner Neale Ratzlaff Prasad Tadepalli 19 33 0 11 Jun 2020
VAEs in the Presence of Missing Data Mark Collier A. Nazábal Christopher K. I. Williams DRL 12 28 0 09 Jun 2020
Variational Auto-Encoder: not all failures are equal Michele Sebag Victor Berger Michèle Sebag DRL 8 4 0 04 Mar 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 12 7 0 22 Feb 2020
The continuous categorical: a novel simplex-valued exponential family E. Gordon-Rodríguez G. Loaiza-Ganem John P. Cunningham 11 21 0 20 Feb 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski G. Loaiza-Ganem John P. Cunningham 29 29 0 19 Dec 2019
Robust Variational Autoencoder H. Akrami Anand A. Joshi Jian Li Sergul Aydore Richard M. Leahy DRL 12 21 0 23 May 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 31 104 0 03 Apr 2019