I am a third year Ph.D.
student candidate at University of Montreal. I am advised by Yoshua Bengio and Hugo Larochelle. Before joining University of Montreal, I was a Research Software Engineer at IBM India Research Lab during August,2014 - May,2015. I did my MS by Research at Indian Institute of Technology Madras where I was working with Balaraman Ravindran.
Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning.
Our work on multi-modal dialogue accepted at CVPR 2017. Preprint is available here.
Click Here for complete list of publications.
A Deep Reinforcement Learning Chatbot.
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim,
Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brebisson, Jose M. R. Sotelo, Dendi Suhubdy,
Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio.
In arXiv, 2017.
Memory Augmented Neural Networks with Wormhole Connections.
Caglar Gulcehre, Sarath Chandar, Yoshua Bengio.
In arXiv, 2017.
GuessWhat?! Visual object discovery through multi-modal dialogue.
Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron Courville.
Proceedings of CVPR, 2017.
Teaching assistant at University of Montreal.
Teaching assistant at IIT Madras.
- Fall 2014 : Introduction to Machine Learning. (Remotely from IBM Research)
- Spring 2014 : Probabilistic Reasoning in AI.
- Fall 2013 : Introduction to Machine Learning.
- Spring 2013 : Languages, Machines and Computation.
- Fall 2012 : Computational Engineering.
- NIPS (2016, 2017)
- ICLR (2017, 2018)