Alexandre H. Thiery

4 papers · 2016–2024 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

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

Top co-authors

Alvin Heng (1) Andras Fulop (1) Sebastian J. Vollmer (1) Yee Whye Teh (1) Jeremy Heng (1) Atin Ghosh (1) Harold Soh (1) Nicolas Chopin (1)

Research topics

Machine Learning (4) Deep Learning (3) Application Areas (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Optimization & Theory (2) Core Methods (1) Models (1) Techniques (1)

Keywords

unsupervised learning (1) semi-supervised learning (1) anomaly detection (1) data augmentation (1) markov chain monte carlo (1) diffusion process (1) particle filter (1) mean squared error (1) generative model (1) diffusion model (1) consistency regularization (1) out-of-distribution detection (1) stochastic gradient langevin dynamics (1) neural network approximation (1) central limit theorem (1) doob h-transform (1) backward kolmogorov equation (1) feynman-kac formula (1) path curvature (1) step size sequence (1)

Papers

Out-of-Distribution Detection with a Single Unconditional Diffusion Model NeurIPS 2024 Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions ICML 2023 On Data-Augmentation and Consistency-Based Semi-Supervised Learning ICLR 2021 Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics JMLR 2016