I am now a first year Ph.D. student 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, Bayesian Non parametrics, Grammatical Inference.
Our work on generating factoid questions accepted at ACL 2016 as long paper. Preprint is available here.
Click Here for complete list of publications.
Hierarchical Memory Networks.
Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio.
In arXiv, 2016.
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes.
Caglar Gulcehre, Sarath Chandar, Kyunghyun Cho, Yoshua Bengio.
In arXiv, 2016.
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
Iulian Vlad Serban, Alberto Garcia-Duran, Caglar Gulcehre, Sungjin Ahn, Sarath Chandar, Aaron Courville, Yoshua Bengio.
Proceedings of ACL, 2016.
I was a teaching assistant at IIT Madras for the following list of courses.
- 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.