Alexandre Milesi

Alexandre Milesi is a deep learning algorithms engineer at NVIDIA. He holds a master’s in machine learning from the UTC, France, and a master’s in robotics and multi-agent systems from Sorbonne University, France. Before joining NVIDIA, Alexandre was an affiliate researcher at Berkeley Lab, solving electrical grid problems using deep reinforcement learning. At NVIDIA, his work is focused on DL algorithms for drug discovery and computer vision, including equivariant graph neural networks.

Posts by Alexandre Milesi

Technical Walkthrough 0 Aug 24, 2021

Accelerating SE(3)-Transformers Training Using an NVIDIA Open-Source Model Implementation

SE(3)-Transformers are versatile graph neural networks. NVIDIA just released an open-source optimized implementation that uses 9x less memory and is up to 21x faster than the baseline official implementation. 8 MIN READ