I will be joining Polytechnique Montreal and Mila as a tenure-track Assistant Professor in Jan 2020! If you are interested in working with me, read this before emailing me.
I did my Ph.D. at University of Montreal, advised by Yoshua Bengio and Hugo Larochelle. I was a recepient of the IBM PhD Fellowship for 2018.
Before joining University of Montreal, I was a Research Software Engineer at IBM India Research Lab during August,2014 - May,2015. I obtained my MS by Research at Indian Institute of Technology Madras where I was working with Balaraman Ravindran.
Research Areas:
Recurrent Neural Networks, Lifelong Learning, Reinforcement Learning, Deep Learning, Natural Language Processing, Machine Learning, Artificial Intelligence.
News:
I successfully defended my Ph.D. thesis on December 18, 2019!
I will be joining Polytechnique Montreal and Mila as a tenure-track Assistant Professor in Jan 2020!
Our work on training RNNs for lifelong learning got accepted in Neural Computation!
Our work on dialogue systems got nominated for best paper awards at ACL 2019!
Recent Publications:
-
The Hanabi Challenge: A New Frontier for AI Research.
Nolan Bard*, Jakob N. Foerster*, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling.
Accepted in Journal of Artificial Intelligence Research, 2019.
[arXiv], [code]
- Towards Training Recurrent Neural Networks for Lifelong Learning.
Shagun Sodhani*, Sarath Chandar*, Yoshua Bengio.
Neural Computation, 2019.
[arXiv]
- Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study.
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio.
Association for Computational Linguistics (ACL), 2019.
[arXiv]
- Towards Lossless Encoding of Sentences.
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp.
Association for Computational Linguistics (ACL), 2019.
[arXiv]