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Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks

14 July 2020

Finale Doshi-Velez

Papers citing "Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks"

12 / 12 papers shown

Data-driven Seasonal Climate Predictions via Variational Inference and Transformers

460

26 Mar 2025

Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging

302

10 Oct 2024

Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders

Yaniv Yacoby

Weiwei Pan

Finale Doshi-Velez

DRL

420

13 Mar 2024

A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation

352

28 Feb 2024

HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations

Steven L. Brunton

205

07 Oct 2023

ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy TechniquesIEEE transactions on fuzzy systems (IEEE TFS), 2023

Javier Fumanal-Idocin

188

29 Aug 2023

Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics

Peter Kowalczyk

Giacomo Welsch

Frédéric Thiesse

277

05 Dec 2022

Identifiability of deep generative models without auxiliary informationNeural Information Processing Systems (NeurIPS), 2022

402

20 Jun 2022

The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data

Viktoria Schuster

A. Krogh

373

13 Oct 2021

Challenging the Semi-Supervised VAE Framework for Text ClassificationFirst Workshop on Insights from Negative Results in NLP (Insights), 2021

175

27 Sep 2021

Unsupervised Learning of Disentangled Speech Content and Style RepresentationInterspeech (Interspeech), 2020

285

24 Oct 2020

Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting

230

13 Oct 2020