I am a second 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 pivot based sequence generation accepted at COLING 2016 as an oral paper. Preprint is available here.
Our work on generating factoid questions accepted at ACL 2016 as long paper. Preprint is available here.
Click Here for complete list of publications.
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation.
Amrita Saha, Mitesh M Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho.
To appear in Proceedings of COLING, 2016.
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.
IJCAI Workshop on Deep Reinforcement Learning: Frontiers and Challenges, 2016.
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.