Menachem Stern

According to our database, Menachem Stern authored at least 4 papers between 2022 and 2025.

Collaborative distances:

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

2025

Harnessing intuitive local evolution rules for physical learning.

Roie Ezraty, Menachem Stern, Shmuel M. Rubinstein

CoRR, July, 2025

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