Sumit Mukherjee

41 papers C 2Journal 30Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decrypting the impact of ferroptosis and cuproptosis in development of pancreatic ductal adenocarcinoma.
Comput. Biol. Chem.
Deepyaman Das, Arunima Maiti, Sayan Saha, Sounetra Choudhury, Sumit Mukherjee, Debabrata Ghosh Dastidar, Nilabja Sikdar
2026 J jnl
Electoral Systems Simulator: An Open Framework for Comparing Electoral Mechanisms Across Voter Distribution Scenarios.
CoRR
Sumit Mukherjee
2025 J jnl
A multi-phase approach using supervised algorithms and clinical models to generate high-accuracy signatures for pancreatic cancer.
Comput. Biol. Medicine
Akash Bararia, Agniswar Chakraborty, Gourav Ghosh, Debabrata Ghosh Dastidar, Sumit Mukherjee, Nilabja Sikdar
2025 — conf
Causal considerations can deterimine the utility of machine learning assisted GWAS.
CHIL
Sumit Mukherjee, Zachary R. McCaw, David Amar, Rounak Dey, Thomas W. Soare, Hari Somineni, Nicholas Eriksson, Colm O'Dushlaine
2025 — conf
Synthesizing Proton-Density Fat Fraction and $R_2^{\ast}$ from 2-Point Dixon MRI with Generative Machine Learning.
ISBI
Suma Anand, Kaiwen Xu, Colm O'Dushlaine, Sumit Mukherjee
2024 J jnl
On Naive Mean-Field Approximation for high-dimensional canonical GLMs.
CoRR
Sumit Mukherjee, Jiaze Qiu, Subhabrata Sen
2024 J jnl
Synthesizing Proton-Density Fat Fraction and R
CoRR
Suma Anand, Kaiwen Xu, Colm O'Dushlaine, Sumit Mukherjee
2023 J jnl
A computational approach for the identification of distant homologs of bacterial riboswitches based on inverse RNA folding.
Briefings Bioinform.
Sumit Mukherjee, Matan Drory Retwitzer, Sara M. Hubbell, Michelle M. Meyer, Danny Barash
2023 J jnl
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data.
CoRR
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
2022 J jnl
Mace: A flexible framework for membership privacy estimation in generative models.
Trans. Mach. Learn. Res.
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Variational Inference in high-dimensional linear regression.
J. Mach. Learn. Res.
Sumit Mukherjee, Subhabrata Sen
2022 — conf
eXtreme Gradient Boosting Scheme for Fundus Vessels Separation.
CICBA
Shirsendu Dhar, Sumit Mukherjee, Ranjit Ghoshal, Bibhas Chandra Dhara
2021 — conf
A machine learning pipeline for aiding school identification from child trafficking images.
GoodIT
Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres
2021 J jnl
A machine learning pipeline for aiding school identification from child trafficking images.
CoRR
Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres
2021 J jnl
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises.
CoRR
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
2021 C conf
Becoming Good at AI for Good.
AIES
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
2021 J jnl
Becoming Good at AI for Good.
CoRR
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
2021 J jnl
COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics.
Nucleic Acids Res.
Dmitry Tworowski, Alessandro Gorohovski, Sumit Mukherjee, Gon Carmi, Eliad Levy, Rajesh Detroja, Sunanda Biswas Mukherjee, Milana Frenkel-Morgenstern
2021 — conf
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
GoodIT
Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng
2021 J jnl
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
CoRR
Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng
2021 J jnl
privGAN: Protecting GANs from membership inference attacks at low cost to utility.
Proc. Priv. Enhancing Technol.
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Nabajyoti Patowary, Juan M. Lavista Ferres
2020 J jnl
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models.
CoRR
Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan M. Lavista Ferres
2020 J jnl
Protecting GANs against privacy attacks by preventing overfitting.
CoRR
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
2020 J jnl
The Second-Moment Phenomenon for Monochromatic Subgraphs.
SIAM J. Discret. Math.
Bhaswar B. Bhattacharya, Somabha Mukherjee, Sumit Mukherjee
2020 C conf
Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut.
ICMLA
Sumit Mukherjee, Nicholas Becker, William B. Weeks, Juan M. Lavista Ferres
2019 J jnl
Estimation in Tournaments and Graphs Under Monotonicity Constraints.
IEEE Trans. Inf. Theory
Sabyasachi Chatterjee, Sumit Mukherjee
2019 J jnl
Identifying and ranking potential driver genes of Alzheimer's disease using multiview evidence aggregation.
Bioinform.
Sumit Mukherjee, Thanneer M. Perumal, Kenneth Daily, Solveig K. Sieberts, Larsson Omberg, Christoph Preuss, Gregory W. Carter, Lara M. Mangravite, Benjamin A. Logsdon
2019 J jnl
Limit theorems for monochromatic stars.
Random Struct. Algorithms
Bhaswar B. Bhattacharya, Sumit Mukherjee
2019 J jnl
Monochromatic subgraphs in randomly colored graphons.
Eur. J. Comb.
Bhaswar B. Bhattacharya, Sumit Mukherjee
2019 J jnl
RiboD: a comprehensive database for prokaryotic riboswitches.
Bioinform.
Sumit Mukherjee, Sukhen Das Mandal, Nikita Gupta, Matan Drory Retwitzer, Danny Barash, Supratim Sengupta
2019 J jnl
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India.
CoRR
Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan M. Lavista Ferres
2018 — conf
Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops.
CDC
Alberto Carignano, Sumit Mukherjee, Abhyudai Singh, Georg Seelig
2018 — conf
Identifying progressive gene network perturbation from single-cell RNA-seq data.
EMBC
Sumit Mukherjee, Alberto Carignano, Georg Seelig, Su-In Lee
2018 J jnl
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.
Bioinform.
Sumit Mukherjee, Yue Zhang, Joshua Fan, Georg Seelig, Sreeram Kannan
2016 J jnl
Riboswitch Scanner: an efficient pHMM-based web-server to detect riboswitches in genomic sequences.
Bioinform.
Sumit Mukherjee, Supratim Sengupta
2015 J jnl
Exact and asymptotic results on coarse Ricci curvature of graphs.
Discret. Math.
Bhaswar B. Bhattacharya, Sumit Mukherjee
2013 — conf
Building temperature control with adaptive feedforward.
CDC
John T. Wen, Sandipan Mishra, Sumit Mukherjee, Nicholas Tantisujjatham, Matt Minakais
2013 J jnl
Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
CoRR
Sayan Saha, Saptarshi Das, Anindya Pakhira, Sumit Mukherjee, Indranil Pan
2013 J jnl
Continuous Order Identification of PHWR Models Under Step-back for the Design of Hyper-damped Power Tracking Controller with Enhanced Reactor Safety.
CoRR
Saptarshi Das, Sumit Mukherjee, Shantanu Das, Indranil Pan, Amitava Gupta
2012 — conf
Building temperature control: A passivity-based approach.
CDC
Sumit Mukherjee, Sandipan Mishra, John T. Wen
2012 J jnl
Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach
CoRR
Sayan Saha, Saptarshi Das, Anish Acharya, Abhishek Kumar, Sumit Mukherjee, Indranil Pan, Amitava Gupta