Sumit Mukherjee

According to our database, Sumit Mukherjee authored at least 32 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On Naive Mean-Field Approximation for high-dimensional canonical GLMs.

Sumit Mukherjee, Jiaze Qiu, Subhabrata Sen

CoRR, 2024

2023

A computational approach for the identification of distant homologs of bacterial riboswitches based on inverse RNA folding.

Sumit Mukherjee, Matan Drory Retwitzer, Sara M. Hubbell, Michelle M. Meyer, Danny Barash

Briefings Bioinform., May, 2023

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data.

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres, Rafael de Sousa

CoRR, 2023

2022

Mace: A flexible framework for membership privacy estimation in generative models.

Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres

Trans. Mach. Learn. Res., 2022

Variational Inference in high-dimensional linear regression.

Sumit Mukherjee, Subhabrata Sen

J. Mach. Learn. Res., 2022

eXtreme Gradient Boosting Scheme for Fundus Vessels Separation.

Shirsendu Dhar, Sumit Mukherjee, Ranjit Ghoshal, Bibhas Chandra Dhara

Proceedings of the Computational Intelligence in Communications and Business Analytics, 2022

2021

privGAN: Protecting GANs from membership inference attacks at low cost to utility.

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Nabajyoti Patowary, Juan Lavista Ferres

Proc. Priv. Enhancing Technol., 2021

COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics.

Dmitry Tworowski, Alessandro Gorohovski, Sumit Mukherjee, Gon Carmi, Eliad Levy, Rajesh Detroja, Sunanda Biswas Mukherjee, Milana Frenkel-Morgenstern

Nucleic Acids Res., 2021

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises.

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres

CoRR, 2021

Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.

Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng

Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

A machine learning pipeline for aiding school identification from child trafficking images.

Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan Lavista Ferres

Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

Becoming Good at AI for Good.

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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

The Second-Moment Phenomenon for Monochromatic Subgraphs.

Bhaswar B. Bhattacharya, Somabha Mukherjee, Sumit Mukherjee

SIAM J. Discret. Math., 2020

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models.

Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan Lavista Ferres

CoRR, 2020

Protecting GANs against privacy attacks by preventing overfitting.

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres

CoRR, 2020

Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut.

Sumit Mukherjee, Nicholas Becker, William B. Weeks, Juan Lavista Ferres

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Estimation in Tournaments and Graphs Under Monotonicity Constraints.

Sabyasachi Chatterjee, Sumit Mukherjee

IEEE Trans. Inf. Theory, 2019

Limit theorems for monochromatic stars.

Bhaswar B. Bhattacharya, Sumit Mukherjee

Random Struct. Algorithms, 2019

Monochromatic subgraphs in randomly colored graphons.

Bhaswar B. Bhattacharya, Sumit Mukherjee

Eur. J. Comb., 2019

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India.

Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan Lavista Ferres

CoRR, 2019

Identifying and ranking potential driver genes of Alzheimer's disease using multiview evidence aggregation.

Sumit Mukherjee, Thanneer M. Perumal, Kenneth Daily, Solveig K. Sieberts, Larsson Omberg, Christoph Preuss, Gregory W. Carter, Lara M. Mangravite, Benjamin A. Logsdon

Bioinform., 2019

RiboD: a comprehensive database for prokaryotic riboswitches.

Sumit Mukherjee, Sukhen Das Mandal, Nikita Gupta, Matan Drory Retwitzer, Danny Barash, Supratim Sengupta

Bioinform., 2019

2018

Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.

Sumit Mukherjee, Yue Zhang, Joshua Fan, Georg Seelig, Sreeram Kannan

Bioinform., 2018

Identifying progressive gene network perturbation from single-cell RNA-seq data.

Sumit Mukherjee, Alberto Carignano, Georg Seelig, Su-In Lee

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops.

Alberto Carignano, Sumit Mukherjee, Abhyudai Singh, Georg Seelig

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016

Riboswitch Scanner: an efficient pHMM-based web-server to detect riboswitches in genomic sequences.

Sumit Mukherjee, Supratim Sengupta

Bioinform., 2016

2015

Exact and asymptotic results on coarse Ricci curvature of graphs.

Bhaswar B. Bhattacharya, Sumit Mukherjee

Discret. Math., 2015

2013

Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms

Sayan Saha, Saptarshi Das, Anindya Pakhira, Sumit Mukherjee, Indranil Pan

CoRR, 2013

Continuous Order Identification of PHWR Models Under Step-back for the Design of Hyper-damped Power Tracking Controller with Enhanced Reactor Safety.

Saptarshi Das, Sumit Mukherjee, Shantanu Das, Indranil Pan, Amitava Gupta

CoRR, 2013

Building temperature control with adaptive feedforward.

John T. Wen, Sandipan Mishra, Sumit Mukherjee, Nicholas Tantisujjatham, Matt Minakais

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach

Sayan Saha, Saptarshi Das, Anish Acharya, Abhishek Kumar, Sumit Mukherjee, Indranil Pan, Amitava Gupta

CoRR, 2012

Building temperature control: A passivity-based approach.

Sumit Mukherjee, Sandipan Mishra, John T. Wen

Proceedings of the 51th IEEE Conference on Decision and Control, 2012