Past Member

Roger Grosse

Affiliation
Mathematics
Field of Study
Deep Learning
From 1/2020 – 3/2020:

Roger Grosse is interested in finding neural network architectures and algorithms that train faster, generalize better, give calibrated uncertainty, and uncover the structure underlying a problem. He also aims to automate the configuration of machine learning systems, from the tuning of hyperparameters to the design of models, architectures, and algorithms.

Dates at IAS
Member
  • Mathematics
1/20203/2020 Spring
Degrees
Massachusetts Institute of Technology Ph.D., 2014
Honors
CIFAR Canadian AI Chair 2018
Canada Research Chair in Probabilistic Inference and Deep Learning 2017
Ontario MRIS Early Researcher Award 2017
Appointments
University of Toronto 2016 Assistant Professor