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Michael Schaarschmidt

PartIR: Composing SPMD Partitioning Strategies for Machine Learning

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Jan 23, 2024
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Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR

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Oct 07, 2022
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Learned Force Fields Are Ready For Ground State Catalyst Discovery

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Sep 26, 2022
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Pre-training via Denoising for Molecular Property Prediction

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May 31, 2022
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Automap: Towards Ergonomic Automated Parallelism for ML Models

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Dec 06, 2021
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Very Deep Graph Neural Networks Via Noise Regularisation

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Jun 15, 2021
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Learning Index Selection with Structured Action Spaces

Sep 16, 2019
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Wield: Systematic Reinforcement Learning With Progressive Randomization

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Sep 15, 2019
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RLgraph: Flexible Computation Graphs for Deep Reinforcement Learning

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Oct 21, 2018
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LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

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Aug 23, 2018
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