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Workshop
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PHYSICS-INSPIRED INTERPRETABILITY OF MACHINE LEARNING MODELS
Maximilian Niroomand · David Wales
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Workshop
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Physics-driven machine learning models coupling PyTorch and Firedrake
Nacime Bouziani · David Ham
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Poster
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Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu · Jason Wei · Shixiang Gu · Te-Yen Wu · Soroush Vosoughi · Claire Cui · Denny Zhou · Andrew Dai
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Workshop
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Thu 2:30
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Learned Models for Physical Simulation and Design
Kimberly Stachenfeld
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Workshop
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Learning Physical Models that Can Respect Conservation Laws
Derek Hansen · Danielle Maddix · Shima Alizadeh · Gaurav Gupta · Michael W Mahoney
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Workshop
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Deep ensembles to improve uncertainty quantification of statistical downscaling models under climate change conditions
Jose González-Abad · Jorge Baño-Medina
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Poster
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Mon 7:30
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Learning Symbolic Models for Graph-structured Physical Mechanism
Hongzhi Shi · Jingtao Ding · Yufan Cao · Quanming Yao · Li Liu · Yong Li
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Workshop
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Thu 6:21
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Spotlight Session 2: "A High-Resolution, Data-Driven Model of Urban Carbon Emissions"
Bartosz Bonczak · Boyeong Hong · Constantine Kontokosta
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Workshop
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Improving global high-resolution Earth system model simulations of precipitation with generative adversarial networks
Philipp Hess
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Workshop
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A High-Resolution, Data-Driven Model of Urban Carbon Emissions
Bartosz Bonczak · Boyeong Hong · Constantine Kontokosta
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Workshop
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Modelling Atmospheric Dynamics with Spherical Fourier Neural Operators
Boris Bonev · Thorsten Kurth · Christian Hundt · Jaideep Pathak · Maximilian Baust · Karthik Kashinath · Anima Anandkumar
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Workshop
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Thu 9:21
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Spotlight Session 3: "Data-driven multiscale modeling of subgrid parameterizations in climate models"
Karl Otness · Laure Zanna · Joan Bruna
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