Welcome to Ross Goroshin's webpage

I'm a Research Scientist at Google Brain - Montreal. Previously I was at DeepMind. I graduated in 2015 with a PhD in Computer Science from the Courant Institute. My advisor was Yann LeCun. My interests (still) include: unsupervised learning, dictionary and representation (feature) learning, but recently also reinforcement learning and meta-learning. In the past I have worked on computer vision and robotics projects which involved ideas from: 3D computer vision, machine learning, applied variational methods, geodesic active contours, and the level-set method.

Deep Learning Work

-Learning to Navigate in Complex Environments
Piotr Mirowski∗, Razvan Pascanu∗, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell
-Learning to Linearize Under Uncertainty (NIPS 2015)
Ross Goroshin, Michael Mathieu, Yann LeCun
-Unsupervised Learning of Spatiotemporally Coherent Metrics (ICCV 2015)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
-Unsupervised Feature Learning from Temporal Data (NIPS 2014 DL-Workshop & ICLR 2015 Workshop)
Ross Goroshin, Joan Bruna, Arthur Szlam, Jonathan Tompson, David Eigen, Yann LeCun
-Efficient Object Localization Using Convolutional Networks (CVPR 2015)
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Chris Bregler
-Saturating Auto-Encoders
Rostislav Goroshin and Yann LeCun, International Conference on Learning Representations (ICLR 2013)

Older Work

-"Approximate solutions to several visibility optimization problems" Rostislav Goroshin, Quyen Huynh, and Hao-Min Zhou, Communications in Mathematical Sciences Volume 9 Issue 2, June 2011. Also available from UCLA(UCLA CAM Report 10-07).
-"Automated cable detection in sonar imagery" J.C. Isaacs, R. Goroshin, IEEE SMC 2009, San Antonio, TX
-"Obstacle Detection using a Monocular Camera" Rostislav Goroshin, Georgia Institute of Technology M.S. Thesis 2008. Georgia Tech ETD

Past & Present

2017-    : Google Brain
2016-2017: DeepMind  
2010-2015: New York University (PhD in Computer Science) 
2008-2010: Naval Surface Warfare Center-Panama City Division (Computational Science Branch)
2006-2008: Georgia Institute of Technology (M.S. in Electrical Engineering, minor Mathematics)
2002-2006: Concordia University (B.Eng. in Electrical Engineering with Distinction)
2000-2002: Vanier College (Diplome d'etudes collegiales (DEC) en Sciences pures et appliquees) 


 GMail: rgoroshin@...