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Sayar Karmakar
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2020 – today
- 2024
- [j6]Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu:
Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j5]Soudeep Deb, Sayar Karmakar:
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States. Comput. Stat. Data Anal. 188: 107810 (2023) - [j4]Sayar Karmakar, Anirbit Mukherjee, Theodore Papamarkou:
Depth-2 neural networks under a data-poisoning attack. Neurocomputing 532: 56-66 (2023) - [j3]Christopher Perez, Sayar Karmakar:
An NLP-assisted Bayesian time-series analysis for prevalence of Twitter cyberbullying during the COVID-19 pandemic. Soc. Netw. Anal. Min. 13(1): 51 (2023) - 2022
- [j2]Sayar Karmakar, Anirbit Mukherjee:
Provable training of a ReLU gate with an iterative non-gradient algorithm. Neural Networks 151: 264-275 (2022) - [i5]Sayar Karmakar, Anirbit Mukherjee:
An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate. CoRR abs/2204.12554 (2022) - [i4]Pulkit Gopalani, Sayar Karmakar, Anirbit Mukherjee:
Capacity Bounds for the DeepONet Method of Solving Differential Equations. CoRR abs/2205.11359 (2022) - [i3]Christopher Perez, Sayar Karmakar:
An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic. CoRR abs/2208.04980 (2022) - 2021
- [j1]Ryumei Nakada, Tatsuya Kubokawa, Malay Ghosh, Sayar Karmakar:
Shrinkage estimation with singular priors and an application to small area estimation. J. Multivar. Anal. 183: 104726 (2021) - [c3]Sayar Karmakar, Sanchari Das:
Understanding the Rise of Twitter-based cyberbullying due to COVID-19 through comprehensive statistical evaluation. HICSS 2021: 1-11 - [c2]Abraham Peedikayil Kuruvila, Sayar Karmakar, Kanad Basu:
Time Series-Based Malware Detection Using Hardware Performance Counters. HOST 2021: 102-112 - 2020
- [c1]Sayar Karmakar, Sanchari Das:
Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis. EICC 2020: 3:1-3:6 - [i2]Sanchari Das, Andrew Kim, Sayar Karmakar:
Change-Point Analysis of Cyberbullying-Related Twitter Discussions During COVID-19. CoRR abs/2008.13613 (2020) - [i1]Sayar Karmakar, Sanchari Das:
Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis. CoRR abs/2009.02126 (2020)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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