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Rohan Shah

2 papers · 2022–2024 · 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AISTATS (1) NeurIPS (1)

Top co-authors

Tung Nguyen (1) Jian Vora (1) Vinay J. Ribeiro (1) Sushil Khyalia (1) Veerabhadra Kotamarthi (1) Denil Mehta (1) Aditya Grover (1) Romit Maulik (1) Sourav Das (1) Troy Arcomano (1)

Research topics

Machine Learning (2) Artificial Intelligence (1) Deep Learning (1) Mathematics & Optimization (1) Application Areas (1) Architectures (1) Core AI (1) Learning Types (1) Mathematics (1) Models (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Statistics (1)

Keywords

mode estimation (1) pac learning (1) deep learning (1) time series (1) distribution learning (1) discrete distribution (1) sequential analysis (1) model scaling (1) weather forecasting (1) transformer neural network (1) medium-range forecast (1) forecast accuracy (1) randomized dynamics forecast (1) martingale confidence sequence (1) transformer model (1) neural network (1) medium-range forecasting (1) randomized forecasting (1)

Papers

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NeurIPS 2024 PAC Mode Estimation using PPR Martingale Confidence Sequences AISTATS 2022