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Nate Gruver

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences

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Dec 10, 2024
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Large Language Models Must Be Taught to Know What They Don't Know

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Jun 12, 2024
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Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

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Feb 06, 2024
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Large Language Models Are Zero-Shot Time Series Forecasters

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Oct 11, 2023
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Protein Design with Guided Discrete Diffusion

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May 31, 2023
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On Feature Learning in the Presence of Spurious Correlations

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Oct 20, 2022
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The Lie Derivative for Measuring Learned Equivariance

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Oct 06, 2022
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Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders

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Mar 23, 2022
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Deconstructing the Inductive Biases of Hamiltonian Neural Networks

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Feb 12, 2022
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Adaptive Informative Path Planning with Multimodal Sensing

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Mar 21, 2020
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