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Charlotte Debus

ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers

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May 06, 2024
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AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning

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May 02, 2024
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Harnessing Orthogonality to Train Low-Rank Neural Networks

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Jan 16, 2024
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Feed-Forward Optimization With Delayed Feedback for Neural Networks

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Apr 26, 2023
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Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations

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Jan 20, 2023
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Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads

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Dec 03, 2022
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Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)

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Apr 15, 2021
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HeAT -- a Distributed and GPU-accelerated Tensor Framework for Data Analytics

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Jul 27, 2020
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