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ORCIDSumit Mukherjee
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[i13]Sumit Mukherjee, Jiaze Qiu, Subhabrata Sen:
On Naive Mean-Field Approximation for high-dimensional canonical GLMs. CoRR abs/2406.15247 (2024)- [i12]Suma Anand, Kaiwen Xu, Colm O'Dushlaine, Sumit Mukherjee:
Synthesizing Proton-Density Fat Fraction and R2* from 2-point Dixon MRI with Generative Machine Learning. CoRR abs/2410.11186 (2024) - 2023
- [j14]Sumit Mukherjee
, Matan Drory Retwitzer, Sara M. Hubbell, Michelle M. Meyer, Danny Barash:
A computational approach for the identification of distant homologs of bacterial riboswitches based on inverse RNA folding. Briefings Bioinform. 24(3) (2023) - [i11]Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres, Rafael de Sousa:
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data. CoRR abs/2310.19250 (2023) - 2022
- [j13]Sumit Mukherjee, Subhabrata Sen:
Variational Inference in high-dimensional linear regression. J. Mach. Learn. Res. 23: 304:1-304:56 (2022) - [j12]Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres:
Mace: A flexible framework for membership privacy estimation in generative models. Trans. Mach. Learn. Res. 2022 (2022) - [c9]Shirsendu Dhar, Sumit Mukherjee, Ranjit Ghoshal, Bibhas Chandra Dhara:
eXtreme Gradient Boosting Scheme for Fundus Vessels Separation. CICBA 2022: 45-58 - 2021
- [j11]Dmitry Tworowski, Alessandro Gorohovski, Sumit Mukherjee, Gon Carmi, Eliad Levy, Rajesh Detroja, Sunanda Biswas Mukherjee, Milana Frenkel-Morgenstern:
COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics. Nucleic Acids Res. 49(Database-Issue): D1113-D1121 (2021) - [j10]Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Nabajyoti Patowary, Juan Lavista Ferres:
privGAN: Protecting GANs from membership inference attacks at low cost to utility. Proc. Priv. Enhancing Technol. 2021(3): 142-163 (2021) - [c8]Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres:
Becoming Good at AI for Good. AIES 2021: 664-673 - [c7]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. GoodIT 2021: 79-84 - [c6]Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan Lavista Ferres:
A machine learning pipeline for aiding school identification from child trafficking images. GoodIT 2021: 297-300 - [i10]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. CoRR abs/2101.07235 (2021) - [i9]Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres:
Becoming Good at AI for Good. CoRR abs/2104.11757 (2021) - [i8]Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan Lavista Ferres:
A machine learning pipeline for aiding school identification from child trafficking images. CoRR abs/2106.05215 (2021) - [i7]Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres:
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises. CoRR abs/2106.10241 (2021) - 2020
- [j9]Bhaswar B. Bhattacharya, Somabha Mukherjee, Sumit Mukherjee:
The Second-Moment Phenomenon for Monochromatic Subgraphs. SIAM J. Discret. Math. 34(1): 794-824 (2020) - [c5]Sumit Mukherjee, Nicholas Becker, William B. Weeks, Juan Lavista Ferres:
Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut. ICMLA 2020: 1332-1339 - [i6]Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres:
Protecting GANs against privacy attacks by preventing overfitting. CoRR abs/2001.00071 (2020) - [i5]Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan Lavista Ferres:
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. CoRR abs/2009.05683 (2020)
2010 – 2019
- 2019
- [j8]Sumit Mukherjee, Thanneer M. Perumal, Kenneth Daily, Solveig K. Sieberts, Larsson Omberg, Christoph Preuss, Gregory W. Carter, Lara M. Mangravite, Benjamin A. Logsdon:
Identifying and ranking potential driver genes of Alzheimer's disease using multiview evidence aggregation. Bioinform. 35(14): i568-i576 (2019) - [j7]Sumit Mukherjee, Sukhen Das Mandal, Nikita Gupta, Matan Drory Retwitzer, Danny Barash, Supratim Sengupta:
RiboD: a comprehensive database for prokaryotic riboswitches. Bioinform. 35(18): 3541-3543 (2019) - [j6]Bhaswar B. Bhattacharya, Sumit Mukherjee:
Monochromatic subgraphs in randomly colored graphons. Eur. J. Comb. 81: 328-353 (2019) - [j5]Bhaswar B. Bhattacharya, Sumit Mukherjee:
Limit theorems for monochromatic stars. Random Struct. Algorithms 55(4): 831-853 (2019) - [j4]Sabyasachi Chatterjee, Sumit Mukherjee:
Estimation in Tournaments and Graphs Under Monotonicity Constraints. IEEE Trans. Inf. Theory 65(6): 3525-3539 (2019) - [i4]Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan Lavista Ferres:
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India. CoRR abs/1910.02136 (2019) - 2018
- [j3]Sumit Mukherjee, Yue Zhang, Joshua Fan, Georg Seelig, Sreeram Kannan:
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge. Bioinform. 34(13): i124-i132 (2018) - [c4]Alberto Carignano, Sumit Mukherjee, Abhyudai Singh, Georg Seelig:
Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops. CDC 2018: 4353-4359 - [c3]Sumit Mukherjee, Alberto Carignano, Georg Seelig, Su-In Lee:
Identifying progressive gene network perturbation from single-cell RNA-seq data. EMBC 2018: 5034-5040 - 2016
- [j2]Sumit Mukherjee, Supratim Sengupta:
Riboswitch Scanner: an efficient pHMM-based web-server to detect riboswitches in genomic sequences. Bioinform. 32(5): 776-778 (2016) - 2015
- [j1]Bhaswar B. Bhattacharya, Sumit Mukherjee:
Exact and asymptotic results on coarse Ricci curvature of graphs. Discret. Math. 338(1): 23-42 (2015) - 2013
- [c2]John T. Wen, Sandipan Mishra, Sumit Mukherjee, Nicholas Tantisujjatham, Matt Minakais:
Building temperature control with adaptive feedforward. CDC 2013: 4827-4832 - [i3]Sayan Saha, Saptarshi Das, Anindya Pakhira, Sumit Mukherjee, Indranil Pan:
Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms. CoRR abs/1301.0930 (2013) - [i2]Saptarshi Das, Sumit Mukherjee, Shantanu Das, Indranil Pan, Amitava Gupta:
Continuous Order Identification of PHWR Models Under Step-back for the Design of Hyper-damped Power Tracking Controller with Enhanced Reactor Safety. CoRR abs/1306.3685 (2013) - 2012
- [c1]Sumit Mukherjee, Sandipan Mishra, John T. Wen:
Building temperature control: A passivity-based approach. CDC 2012: 6902-6907 - [i1]Sayan Saha, Saptarshi Das, Anish Acharya, Abhishek Kumar, Sumit Mukherjee, Indranil Pan, Amitava Gupta:
Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach. CoRR abs/1212.3225 (2012)
Coauthor Index
aka: Juan M. Lavista Ferres
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