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Rebecca Willett

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Depth Separation in Norm-Bounded Infinite-Width Neural Networks

Feb 13, 2024
Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro

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Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds

Jul 27, 2023
Owen Melia, Eric Jonas, Rebecca Willett

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Integrating Uncertainty Awareness into Conformalized Quantile Regression

Jun 14, 2023
Raphael Rossellini, Rina Foygel Barber, Rebecca Willett

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Training neural operators to preserve invariant measures of chaotic attractors

Jun 01, 2023
Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett

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Deep Stochastic Mechanics

May 31, 2023
Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett

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Linear Neural Network Layers Promote Learning Single- and Multiple-Index Models

May 24, 2023
Suzanna Parkinson, Greg Ongie, Rebecca Willett

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Bagging Provides Assumption-free Stability

Jan 30, 2023
Jake A. Soloff, Rina Foygel Barber, Rebecca Willett

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Reduced-Order Autodifferentiable Ensemble Kalman Filters

Jan 27, 2023
Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett

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Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting

Nov 29, 2022
Elena Orlova, Haokun Liu, Raphael Rossellini, Benjamin Cash, Rebecca Willett

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Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification

Nov 03, 2022
Ruoxi Jiang, Rebecca Willett

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