TZstats Convergence Lab | Tian Zheng, Columbia Stats
TZstats Convergence Lab | Tian Zheng, Columbia Stats
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Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies
Machine learning has been increasingly applied in climate modeling on system emulation acceleration, data-driven parameter inference, …
Tian Zheng
,
Subashree Venkatasubramanian
,
Shawn Li
,
Amy Braverman
,
Xinyi Ke
,
Zhewen Hou
,
Peter Jin
,
Sammy Agrawal
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arXiv
Crowdsourcing the frontier: Advancing hybrid physics-ML climate simulation via a $50,000 Kaggle competition
Jerry Lin
,
Zeyuan Hu
,
Tom Beucler
,
Katherine Frields
,
Hannah Christensen
,
Walter Hannah
,
Helge Heuer
,
Peter Ukkonen
,
Laura a Mansfield
,
Tian Zheng
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Journal
Structured exploration of machine learning model complexity for spatio-temporal forecasting of urban flooding
Candace M. Agonafir
,
Tian Zheng
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DOI
Journal
SSRN preprint
The Practical, Robust Implementation and Sustainability (PRISM)-capabilities model for use of Artificial Intelligence in community-engaged implementation science research
The application of AI to CER relies on human-centered principles that prioritize human-AI collaboration, allowing for the operationalization of responsible AI practices. The PRISM-Capabilities model provides a framework to account for the complexities of real-world social science problems and explicitly positions AI tools at bottlenecks experienced with conventional approaches.
Nabila El-Bassel
,
James David
,
Others
,
Eric Aragundi
,
More Others
,
Tian Zheng
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Project
Probabilistic data assimilation for ensemble distribution projections with generative machine learning: A Lorenz '96 proof-of-concept
Shuolin Li
,
Tian Zheng
,
Alban Farchi
,
Marc Bocquet
,
Pierre Gentine
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ESSOAr preprint
Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning
Siyeon Kim
,
Juan Nathaniel
,
Zhewen Hou
,
Tian Zheng
,
Pierre Gentine
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Scalable Community Detection in Massive Networks Using Aggregated Relational Data
The mixed membership stochastic blockmodel (MMSB) is a popular Bayesian network model for community detection. Fitting such large …
Timothy Jones
,
Owen Ward
,
Yiran Jiang
,
John Paisley
,
Tian Zheng
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DOI
arXiv
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. We need evidence …
Tamara Broderick
,
Andrew Gelman
,
Rachael Meager
,
Anna Smith
,
Tian Zheng
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DOI
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arXiv
Prediction scoring of data-driven discoveries for reproducible research
Anna Smith
,
Tian Zheng
,
Andrew Gelman
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Journal
Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions
Group-based social dominance hierarchies are of essential interest in animal behavior research. Studies often record aggressive …
Owen Ward
,
Jing Wu
,
Tian Zheng
,
Anna Smith
,
James P. Curley
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