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Jennifer Chayes

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design

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Sep 16, 2024
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A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics

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Feb 01, 2024
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Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

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Jun 15, 2023
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Disincentivizing Polarization in Social Networks

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May 23, 2023
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Tackling Climate Change with Machine Learning

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Jun 10, 2019
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Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks

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May 02, 2019
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SysML: The New Frontier of Machine Learning Systems

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May 01, 2019
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What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

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Apr 10, 2019
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Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

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Jan 27, 2019
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Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

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Apr 21, 2017
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