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About me
About me
I am currently a researcher at Google Research, India working on Natural Language Understanding.
I completed my Ph.D from Indian Institute of Technology Kharagpur, India Computer Science and Engineering Dept. under the guidance of Prof. Niloy Ganguly. I have received Google India Ph.D fellowship in 2017. My research interest lies in intersection of network science, machine learning and natural language processing. I work on generative models for graphs and resource poor natural languages.
Publications
Publications
Conferences
Conferences
2021
2021
A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow, B. Samanta, M. Agrawal, N.Ganguly, ACL 2021
2019
2019
A Deep Generative Model for Code Switched Text, B. Samanta*, S. Reddy*, H. Jagirdar, N. Ganguly and S. Charkabarti, IJCAI 2019
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text, B. Samanta, N. Ganguly and S. Charkabarti, ACL 2019
NeVAE: A Deep Generative Model for Molecular Graphs B. Samanta, A. De, G. Jana, P. K. Chattaraj, N. Ganguly and M. Gomez-Rodriguez, AAAI 2019
2018
2018
CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion A. Saha, B. Samanta, N. Ganguly and A. De, CIKM 2018
2017
2017
All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media J. Patro, B. Samanta, S. Singh, A. Basu, P. Mukherjee, M. Choudhury, and A. Mukherjee EMNLP 2017
LMPP: A Large Margin Point Process for Reinforcement and Competition for Modeling Hashtag Popularity B.Samanta, A.De, A. Chakraborty, N.Ganguly IJCAI 2017
STRM: A Sister Tweet Reinforcement Process for Modeling Hashtag Popularity B.Samanta, A.De, N.Ganguly, Infocom 2017
Journals
Journals
2020
2020
1. NeVAE: A Deep Generative Model for Molecular Graphs B. Samanta, A. De, G. Jana, P. K. Chattaraj, N. Ganguly, Vicenç Gómez and M. Gomez-Rodriguez Journal of Machine Learning Research (19)
Book Chapter
Book Chapter
2017
2017
Learning Information Dynamics in Online Social Media: A Temporal Point Process Perspective, B. Samanta, A. Saha, N. Ganguly, S. Bhattacharya, and A. De, Dynamics on and of Complex Networks 2017
Research Internship
Research Internship
Sept'17 - Dec'17 Variational Auto Encoder based approach for random graph generation Supervisor: Dr. Manuel Gomez Rodriguez, Max Planck Institute for Software Systems.
PC Member/Reviewer
PC Member/Reviewer
Sub-reviewer: WSDM '20, WWW '20, KDD '19
PC Member: ICLR '22, AAAI '22
ICML '21 Workshop(SUBSETML), KDD'21, ICLR'21, AAAI'21,
WTPP'19 (NeurIPS Workshop on learning with temporal point processes)
Invited Talk
Invited Talk
June 14'th Rafik B. Hariri Institute for Computing, Boston University
Jan 2019 CODS-COMAD(The ACM India Joint International Conference) Generative model for molecular graphs
Educational Qualification
Educational Qualification
July2013 Masters of Technology in Computer Science at Indian Institute of technology, Kharagpur, India, CGpa: 9.56/10
July 2011 Bachelors of Technology in Computer Science at Heritage Institute of Technology, WBUT, India CGpa: 9.04/10
Professional Experience
Professional Experience
Dec 2014 - Dec 2015 Software Developer at Amazon, India, Product Detail Page Team, Bangalore
July 2013 - Nov 2014 Software Engineer at Yahoo Inc., India, Multimedia Search Team, Bangalore
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