Ronen Eldan

Exponential expressivity in deep neural networks through transient chaos

Development of metaverse for intelligent healthcare

Finite-size effects in the microscopic critical properties of jammed configurations: A comprehensive study of the effects of different types of disorder

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations

Balanced Linear Contextual Bandits

A two‐dimensional feasibility study of deep learning‐based feature detection and characterization directly from CT sinograms

Physics-Informed Neural Networks for Heat Transfer Problems

A simple and efficient architecture for trainable activation functions

Understanding deep learning (still) requires rethinking generalization

Physics-informed machine learning

Activation functions in deep learning: A comprehensive survey and benchmark

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review

Data-driven modeling for boiling heat transfer: Using deep neural networks and high-fidelity simulation results

A Tutorial on Thompson Sampling

Deep learning for time series classification: a review

Sampling from a log-concave distribution with Projected Langevin Monte\n Carlo

The Power of Depth for Feedforward Neural Networks