Guillaume Alain

3 papers · 2013–2014 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Yoshua Bengio (3) Jason Yosinski (1) Eric Laufer (1) Li Yao (1) Pascal Vincent (1)

Research topics

Machine Learning (3) Deep Learning (2) Architectures (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Models (2) Optimization & Theory (2) Bayesian & Probabilistic (1) Core Methods (1)

Keywords

denoising autoencoder (3) generative model (2) metropolis-hastings mcmc (2) markov chain monte carlo (1) mcmc sampling (1) markov chain (1) score matching (1) contractive autoencoders (1) implicit density (1) deep boltzmann machine (1) langevin sampling (1) discrete variable (1) generative stochastic network (1) regularized auto-encoder (1) langevin dynamics (1) contractive training criterion (1) representation learning (1) density estimation (1)

Papers

Deep Generative Stochastic Networks Trainable by Backprop ICML 2014 What Regularized Auto-Encoders Learn from the Data-Generating Distribution JMLR 2014 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013