Christopher Srinivasa

Photo of Christopher Srinivasa

Research Team Lead

PhD Electrical and Computer Engineering, University of Toronto

I'm a Machine Learning Research Team Lead at Borealis AI in Toronto, Canada. I obtained my PhD with the Probabilistic and Statistical Inference group at the University of Toronto, advised by Brendan Frey. My fundamental research interests are centered around message-passing algorithms, combinatorial optimization, variational inference, and graphical models. From an applications standpoint, I am passionate about problems in energy-efficient ML, where we work in resource-constrained settings such as mobile devices, and problems involving structure, where a representation has multiple components with dependencies between them. Prior to my PhD, I completed a M.A.Sc. from the University of Ottawa in 2011 and a B.Eng. Honours from McGill University in 2009, both in Electrical Engineering focusing on signal processing.

Research Areas

Optimization in Machine Learning

Bayesian Inference

Energy and Computation

Publications

Dec. 14, 2017

Min-Max Propagation

Neural Information Processing Systems (NIPS), 2017
Authors: C. Srinivasa , I. Givoni, S. Ravanbahksh, B. J. Frey
Dec. 7, 2018

On Learning Wire-Length Efficient Neural Networks

Workshop on Compact Deep Neural Network Representation (NeurIPS), 2018
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