About me

I am a graduate Research Assistant in artificial intelligence at Stanford University, advised by Professors Silvio Savarese and Daniel Ritchie. I am interested in computer vision, unsupervized learning and statistical machine learning, and I am part of the Stanford Computational Vision and Geometry Lab.

Publications

CAR-Net: Clairvoyant Attentive Recurrent Network
Amir Sadeghian, Maxime Voisin, Ferdinand Legros, Alexandre Alahi, Silvio Savarese
Submitted to CVPR 2018

An Improved Training Procedure for Neural Autoregressive Data Completion
Maxime Voisin, Daniel Ritchie
Accepted at NIPS 2017 Workshop for Bayesian Deep Learning
arXiv

Work Experience

Research scientist intern in Deep Reinforcement Learning, Apple, 2017
Machine learning intern, Dataiku, 2016

Teaching

Teaching Assistant for graduate students in Computer Science at Stanford University.
CS229: Machine Learning (Fall 2017) with Professors Andrew Ng and Dan Boneh
CS161: Algorithms (Winter 2016) with Professor Gregory Valiant
CS265/CME309: Randomized Algorithms and Probabilistic Analysis (Fall 2016) with Professor Gregory Valiant