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Armin W. Thomas

Stanford Data Science, Stanford University

Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture

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Oct 18, 2023
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Simple Hardware-Efficient Long Convolutions for Sequence Modeling

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Feb 13, 2023
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Hungry Hungry Hippos: Towards Language Modeling with State Space Models

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Dec 28, 2022
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Differentiable programming for functional connectomics

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May 31, 2022
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Comparing interpretation methods in mental state decoding analyses with deep learning models

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May 31, 2022
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Evaluating deep transfer learning for whole-brain cognitive decoding

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Nov 01, 2021
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On the Opportunities and Risks of Foundation Models

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Aug 18, 2021
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Challenges for cognitive decoding using deep learning methods

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Aug 16, 2021
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Deep Transfer Learning For Whole-Brain fMRI Analyses

Jul 02, 2019
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Interpretable LSTMs For Whole-Brain Neuroimaging Analyses

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Oct 23, 2018
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