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07/11/2022
Exploring Length Generalization in Large Language Models
The ability to extrapolate from short problem instances to longer ones i...
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06/29/2022
Solving Quantitative Reasoning Problems with Language Models
Language models have achieved remarkable performance on a wide range of ...
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06/30/2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
Although machine learning models typically experience a drop in performa...
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05/10/2021
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
A common setting for scientific inference is the ability to sample from ...
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10/29/2020
Understanding the Failure Modes of Out-of-Distribution Generalization
Empirical studies suggest that machine learning models often rely on fea...
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08/19/2020
Asymptotics of Wide Convolutional Neural Networks
Wide neural networks have proven to be a rich class of architectures for...
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01/14/2020
Simulation Assisted Likelihood-free Anomaly Detection
Given the lack of evidence for new particle discoveries at the Large Had...
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11/20/2019
OmniFold: A Method to Simultaneously Unfold All Observables
Collider data must be corrected for detector effects ("unfolded") to be ...
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07/18/2019
Neural Networks for Full Phase-space Reweighting and Parameter Tuning
Precise scientific analysis in collider-based particle physics is possib...
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04/25/2018
