Abir De
Abir De
Assistant Professor, CSE, IIT Bombay
Verified email at - Homepage
Cited by
Cited by
Designing random graph models using variational autoencoders with applications to chemical design
B Samanta, A De, N Ganguly, M Gomez-Rodriguez
arXiv preprint arXiv:1802.05283, 2018
Enhancing human learning via spaced repetition optimization
B Tabibian, U Upadhyay, A De, A Zarezade, B Schölkopf, ...
Proceedings of the National Academy of Sciences 116 (10), 3988-3993, 2019
Learning and forecasting opinion dynamics in social networks
A De, I Valera, N Ganguly, S Bhattacharya, M Gomez Rodriguez
Advances in neural information processing systems 29, 2016
Deep reinforcement learning of marked temporal point processes
U Upadhyay, A De, M Gomez Rodriguez
Advances in Neural Information Processing Systems 31, 2018
Grad-match: Gradient matching based data subset selection for efficient deep model training
K Killamsetty, S Durga, G Ramakrishnan, A De, R Iyer
International Conference on Machine Learning, 5464-5474, 2021
Learning a linear influence model from transient opinion dynamics
A De, S Bhattacharya, P Bhattacharya, N Ganguly, S Chakrabarti
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
Knowlywood: Mining activity knowledge from hollywood narratives
N Tandon, G De Melo, A De, G Weikum
Proceedings of the 24th ACM International on Conference on Information and …, 2015
Discriminative link prediction using local, community, and global signals
A De, S Bhattacharya, S Sarkar, N Ganguly, S Chakrabarti
IEEE Transactions on Knowledge and Data Engineering 28 (8), 2057-2070, 2016
Regression under human assistance
A De, P Koley, N Ganguly, M Gomez-Rodriguez
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2611-2620, 2020
Classification under human assistance
A De, N Okati, A Zarezade, MG Rodriguez
Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 5905-5913, 2021
Steering Social Activity: A Stochastic Optimal Control Point Of View.
A Zarezade, A De, U Upadhyay, HR Rabiee, M Gomez-Rodriguez
Journal of Machine Learning Research 18, 205:1-205:35, 2017
Demarcating endogenous and exogenous opinion diffusion process on social networks
A De, S Bhattacharya, N Ganguly
Proceedings of the 2018 World Wide Web Conference, 549-558, 2018
Differentiable learning under triage
N Okati, A De, M Rodriguez
Advances in Neural Information Processing Systems 34, 9140-9151, 2021
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity.
B Samanta, A De, A Chakraborty, N Ganguly
IJCAI, 2679-2685, 2017
Learning temporal point processes with intermittent observations
V Gupta, S Bedathur, S Bhattacharya, A De
International Conference on Artificial Intelligence and Statistics, 3790-3798, 2021
Counterfactual explanations in sequential decision making under uncertainty
S Tsirtsis, A De, M Rodriguez
Advances in Neural Information Processing Systems 34, 30127-30139, 2021
Cheshire: An online algorithm for activity maximization in social networks
A Zarezade, A De, H Rabiee, MG Rodriguez
arXiv preprint arXiv:1703.02059, 2017
Learning to switch between machines and humans
VB Meresht, A De, A Singla, M Gomez-Rodriguez
arXiv preprint arXiv:2002.04258, 2020
Learning network traffic dynamics using temporal point process
A Saha, N Ganguly, S Chakraborty, A De
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1927-1935, 2019
Lights, camera, action: Knowledge extraction from movie scripts
N Tandon, G Weikum, G Melo, A De
Proceedings of the 24th International Conference on World Wide Web, 127-128, 2015
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