2 papers
cs.LG2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
Yotam Alexander, Nimrod De La Vega, Noam Razin +1
The question of what makes a data distribution suitable for deep learning is a fundamental open problem. Focusing on locally connected neural networks (a prevalent family of archit…
math.PR2018
Cone points of Brownian motion in arbitrary dimension
Yotam Alexander, Ronen Eldan
We show that the convex hull of the path of Brownian motion in -dimensions, up to time , is a smooth set. As a consequence, we conclude that a Brownian motion in any dimensio…