Maxence Ernoult
PhD in neuromorphic computing (Sorbonne/Mila), specialized in hardware-friendly alternatives to backpropagation. Now at Rain, previously IBM Research.

Maxence Ernoult
Maxence Ernoult graduated from Ecole Polytechnique and the University of Cambridge in 2016, specializing in applied mathematics and theoretical physics. His PhD research was conducted in neuromorphic computing at Sorbonne University, in collaboration with Mila. During this time, he specialized in developing hardware-friendly alternatives to backpropagation and played a significant role in scaling up several of these alternatives, including Equilibrium Propagation and Difference Target Propagation. This work was undertaken alongside notable figures such as Ben Scellier, Blake Richards, and Yoshua Bengio. In 2021, Maxence joined IBM Research, focusing on AI safety. Subsequently, in 2022, he began a new position at Rain.
Contributions
Workshops
- Accelerating Inference and Training at the Edge
March 5, 2024 at 18:00 - 19:30 CET
Join us for a talk by Maxence Ernoult, Research Scientist at Rain, on accelerating inference and training at the edge.