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08/29/2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
WeatherBench 2 is an update to the global, medium-range (1-14 day) weath...
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12/24/2022
GraphCast: Learning skillful medium-range global weather forecasting
We introduce a machine-learning (ML)-based weather simulator–called "Gra...
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07/01/2022
Learning to correct spectral methods for simulating turbulent flows
Despite their ubiquity throughout science and engineering, only a handfu...
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05/31/2021
Efficient and Modular Implicit Differentiation
Automatic differentiation (autodiff) has revolutionized machine learning...
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02/22/2021
Variational Data Assimilation with a Learned Inverse Observation Operator
Variational data assimilation optimizes for an initial state of a dynami...
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01/28/2021
Machine learning accelerated computational fluid dynamics
Numerical simulation of fluids plays an essential role in modeling many ...
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09/17/2020
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics
Including prior knowledge is important for effective machine learning mo...
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06/18/2020
Array Programming with NumPy
Array programming provides a powerful, compact, expressive syntax for ac...
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03/10/2020
Lagrangian Neural Networks
Accurate models of the world are built upon notions of its underlying sy...
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10/11/2019
Inundation Modeling in Data Scarce Regions
Flood forecasts are crucial for effective individual and governmental pr...
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09/10/2019
Neural reparameterization improves structural optimization
Structural optimization is a popular method for designing objects such a...
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11/29/2018
Data-driven metasurface discovery
A long-standing challenge with metasurface design is identifying computa...
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11/02/2017
Correcting Nuisance Variation using Wasserstein Distance
Profiling cellular phenotypes from microscopic imaging can provide meani...
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05/30/2017