دنبال کردن
Abir De
Abir De
Assistant Professor, CSE, IIT Bombay
ایمیل تأیید شده در cse.iitb.ac.in - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Nevae: A deep generative model for molecular graphs‏
B Samanta, A De, G Jana, V Gómez, PK Chattaraj, N Ganguly, ...‏
The Journal of Machine Learning Research 21 (1), 4556-4588, 2020‏
2512020
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
2432021
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
2232019
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
141*2016
Deep reinforcement learning of marked temporal point processes‏
U Upadhyay, A De, M Gomez Rodriguez‏
Advances in neural information processing systems 31, 2018‏
1352018
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
101*2014
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
772020
Differentiable learning under triage‏
N Okati, A De, M Rodriguez‏
Advances in Neural Information Processing Systems 34, 9140-9151, 2021‏
682021
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
632015
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
612021
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
552018
Counterfactual explanations in sequential decision making under uncertainty‏
S Tsirtsis, A De, M Rodriguez‏
Advances in Neural Information Processing Systems 34, 30127-30139, 2021‏
512021
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
452016
Interpretable neural subgraph matching for graph retrieval‏
I Roy, VSBR Velugoti, S Chakrabarti, A De‏
Proceedings of the AAAI conference on artificial intelligence 36 (7), 8115-8123, 2022‏
352022
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
33*2021
Training data subset selection for regression with controlled generalization error‏
S Durga, R Iyer, G Ramakrishnan, A De‏
International Conference on Machine Learning, 9202-9212, 2021‏
312021
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
312017
Training for the future: A simple gradient interpolation loss to generalize along time‏
A Nasery, S Thakur, V Piratla, A De, S Sarawagi‏
Advances in Neural Information Processing Systems 34, 19198-19209, 2021‏
292021
Learning to switch between machines and humans‏
VB Meresht, A De, A Singla, M Gomez-Rodriguez‏
arXiv preprint arXiv:2002.04258, 2020‏
28*2020
Demarcating endogenous and exogenous opinion dynamics: An experimental design approach‏
P Koley, A Saha, S Bhattacharya, N Ganguly, A De‏
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-25, 2021‏
25*2021
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20