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Menachem Stern

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Informal and Other Publications

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2023
[i3]
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  - journals/corr/abs-2311-00537
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  - https://dblp.org/rec/journals/corr/abs-2311-00537
Sam Dillavou, Benjamin D. Beyer, Menachem Stern, Marc Z. Miskin, Andrea J. Liu, Douglas J. Durian:
Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial. CoRR abs/2311.00537 (2023)
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  - journals/corr/abs-2311-15404
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  - https://dblp.org/rec/journals/corr/abs-2311-15404
Cédric Gerbelot, Avetik Karagulyan, Stefani Karp, Kavya Ravichandran, Menachem Stern, Nathan Srebro:
Applying statistical learning theory to deep learning. CoRR abs/2311.15404 (2023)
2022
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  - journals/corr/abs-2201-04626
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Jacob F. Wycoff, Sam Dillavou, Menachem Stern, Andrea J. Liu, Douglas J. Durian:
Learning Without a Global Clock: Asynchronous Learning in a Physics-Driven Learning Network. CoRR abs/2201.04626 (2022)

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