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.
Recurrent Neural Networks, Lifelong Learning, Reinforcement Learning, Deep Learning, Natural Language Processing, Machine Learning, Artificial Intelligence.
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!
PatchUp: A Regularization Technique for Convolutional Neural Networks.
Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar.
In arXiv, 2020.
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning.
Sai Krishna Gottipati*, Boris Sattarov*, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam MJ Thomas,
Simon Blackburn, Connor W Coley, Jian Tang, Sarath Chandar, Yoshua Bengio.
International Conference on Machine Learning (ICML), 2020.