William D. Collins

13 papers Misc 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Examining Fast Radiative Feedbacks Using Machine-Learning Weather Emulators. CoRR Ankur Mahesh, William D. Collins, Travis A. O'Brien, Paul B. Goddard, Sinclaire Zebaze, Shashank Subramanian, James Duncan, Oliver Watt-Meyer, Boris Bonev, Thorsten Kurth, Karthik Kashinath, Michael S. Pritchard, Da Yang
2025	J	`jnl`	FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale. CoRR Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima Anandkumar, William D. Collins, Michael S. Pritchard, Alexander Keller
2024	J	`jnl`	Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction. CoRR Jared D. Willard, Peter Harrington, Shashank Subramanian, Ankur Mahesh, Travis A. O'Brien, William D. Collins
2024	J	`jnl`	Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators. CoRR Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard
2024	J	`jnl`	Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators. CoRR Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard
2024	J	`jnl`	Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models. CoRR Paul A. Ullrich, Elizabeth A. Barnes, William D. Collins, Katherine Dagon, Shiheng Duan, Joshua Elms, Jiwoo Lee, L. Ruby Leung, Dan Lu, Maria J. Molina, Travis A. O'Brien
2016	J	`jnl`	A fast and objective multidimensional kernel density estimation method: fastKDE. Comput. Stat. Data Anal. Travis A. O'Brien, Karthik Kashinath, Nicholas R. Cavanaugh, William D. Collins, John P. O'Brien
2016	J	`jnl`	Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets. CoRR Yunjie Liu, Evan Racah, Prabhat, Joaquin Correa, Amir Khosrowshahi, David Lavers, Kenneth Kunkel, Michael F. Wehner, William D. Collins
2016	J	`jnl`	Evaluation of hydrologic components of community land model 4 and bias identification. Int. J. Appl. Earth Obs. Geoinformation Enhao Du, Alan V. Di Vittorio, William D. Collins
2016	J	`jnl`	What are the effects of Agro-Ecological Zones and land use region boundaries on land resource projection using the Global Change Assessment Model? Environ. Model. Softw. Alan V. Di Vittorio, Page Kyle, William D. Collins
2015	Misc	`conf`	Progress in Fast, Accurate Multi-scale Climate Simulations. ICCS William D. Collins, Hans Johansen, Katherine J. Evans, Carol S. Woodward, Peter M. Caldwell
2015	—	`conf`	TECA: Petascale Pattern Recognition for Climate Science. CAIP (2) Prabhat, Surendra Byna, Venkatram Vishwanath, Eli Dart, Michael F. Wehner, William D. Collins
2014	J	`jnl`	Reducing the computational cost of the ECF using a nuFFT: A fast and objective probability density estimation method. Comput. Stat. Data Anal. Travis A. O'Brien, William D. Collins, Sara A. Rauscher, Todd D. Ringler