Boris Flach

4 papers · 2019–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird

Venues

ICLR (2) AISTATS (1) NeurIPS (1)

Top co-authors

Alexander Shekhovtsov (4) Dmitrij Schlesinger (2) Viktor Yanush (1)

Research topics

Deep Learning (4) Machine Learning (3) Architectures (3) Models (3) Artificial Intelligence (2) Optimization & Theory (2) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Core AI (1)

Keywords

variational autoencoder (2) evidence lower bound (2) nash equilibrium (1) exponential family (1) variance reduction (1) variance estimation (1) approximation error (1) generative model (1) latent variable model (1) uncertainty propagation (1) straight-through estimator (1) posterior collapse (1) nash equilibrium learning (1) encoder-decoder symmetry (1) binary neural network (1) encoder model (1) monte carlo (1) probabilistic neural network (1) semi-supervised learning (1) stochastic binary network (1)

Papers

Symmetric Equilibrium Learning of VAEs AISTATS 2024 VAE Approximation Error: ELBO and Exponential Families ICLR 2022 Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks NeurIPS 2020 Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers ICLR 2019