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Liam H. Parker

2 papers · 2024–2024 · 1 venue · 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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🌉 Interdisciplinary Bridge · Bronze 👥 Mega-Team · Squad

Venues

NeurIPS (2)

Top co-authors

Miles Cranmer (2) Lucas Meyer (2) Jeff Shen (2) Shirley Ho (2) Drummond B. Fielding (1) Benjamin M. Boyd (1) Jonah Miller (1) Fruzsina J. Agocs (1) Keiya Hirashima (1) Jeroen Audenaert (1)

Research topics

Artificial Intelligence (2) Computer Science (1) Computer Vision (1) Deep Learning (1) Machine Learning (1) Application Areas (1) Applications (1) Core AI (1) Domain-Specific (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1)

Keywords

time series analysis (1) image classification (1) transfer learning (1) multimodal learning (1) remote sensing (1) time series (1) surrogate model (1) foundation model (1) fluid dynamics (1) physics simulation (1) large-scale multimodal dataset (1) scientific astronomical data (1) multi-channel image (1) large-scale machine learning (1) hyperspectral image (1) machine learning benchmark (1) hyperspectral imaging (1) scientific dataset (1) spatiotemporal system (1) astronomical data (1)

Papers

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data NeurIPS 2024 The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning NeurIPS 2024