Frithjof Gressmann — accepted AI-conference papers

2025

Position: It Is Time We Test Neural Computation In Vitro

Frithjof Gressmann, Ashley Chen, Lily Hexuan Xie, Nancy Amato, Lawrence Rauchwerger

ICML 2025poster

Recent advances in bioengineering have enabled the creation of biological neural networks in vitro, significantly reducing the cost, ethical hurdles, and complexity of experimentation with genuine biological neural computation. In this position paper, we argue that this trend offers a unique and tim…

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2020

Improving Neural Network Training in Low Dimensional Random Bases

Frithjof Gressmann, Zach Eaton-Rosen, Carlo Luschi

NeurIPS 2020poster

Stochastic Gradient Descent (SGD) has proven to be remarkably effective in optimizing deep neural networks that employ ever-larger numbers of parameters. Yet, improving the efficiency of large-scale optimization remains a vital and highly active area of research. Recent work has shown that deep neur…

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