Bryan He

3 papers · 2017–2024 · 2 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (2) 🏃 Academic Marathon (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14)

Conferences

ICML (2) AISTATS (1)

Top co-authors

Ioannis Mitliagkas (1) Chris Re (1) Emmanuel Mignot (1) Christopher De Sa (1) Magnus Ruud Kjaer (1) Alexander Ratner (1) Peng Xu (1) Rahul Thapa (1) Hyatt Moore Iv (1) Christopher Re (1)

Keywords

stochastic optimization (1) principal component analysis (1) structure learning (1) weak supervision (1) variance reduction (1) generative model (1) unlabeled datum (1) power iteration (1) dependency structure (1)

Papers

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals ICML 2024

Accelerated Stochastic Power Iteration AISTATS 2018

Learning the Structure of Generative Models without Labeled Data ICML 2017