Menachem Stern

According to our database, Menachem Stern authored at least 3 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Applying statistical learning theory to deep learning.

Cédric Gerbelot, Avetik Karagulyan, Stefani Karp, Kavya Ravichandran, Menachem Stern, Nathan Srebro

CoRR, 2023

Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial.

Sam Dillavou, Benjamin D. Beyer, Menachem Stern, Marc Z. Miskin, Andrea J. Liu, Douglas J. Durian

CoRR, 2023

2022

Learning Without a Global Clock: Asynchronous Learning in a Physics-Driven Learning Network.

Jacob F. Wycoff, Sam Dillavou, Menachem Stern, Andrea J. Liu, Douglas J. Durian

CoRR, 2022