Yogatheesan Varatharajah

3 papers · 2017–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

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Venues

NeurIPS (2) MLHC (1)

Top co-authors

Min Jin Chong (1) Robert A. McGovern (1) Brent Berry (1) Samarth Rawal (1) Rajesh Rajamani (1) Gregory Worrell (1) Neeraj Wagh (1) Thomas Lisko (1) Ravishankar Iyer (1) Seyyed Saeid Cheshmi (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Deep Learning (1) Healthcare & Medicine (1) Application Areas (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Clinical (1) Core Methods (1) Learning Types (1) Techniques (1)

Keywords

representation learning (1) bayesian inference (1) self-supervised learning (1) medical imaging (1) distribution shift (1) probabilistic graphical model (1) factor graph (1) predictive uncertainty (1) seizure detection (1) out of distribution (1) cross-modal pretraining (1) graph-cut algorithm (1) model diagnostics (1) latent space robustness (1) generalizability (1) imu-video data (1) parkinson’s disease (1)

Papers

Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning MLHC 2025 Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts NeurIPS 2022 EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NeurIPS 2017