Building temperature control: A passivity-based approach. - Sumit Mukherjee; Sandipan Mishra; John T. Wen (CDC, 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 with adaptive feedforward. - John T. Wen; Sandipan Mishra; Sumit Mukherjee; Nicholas Tantisujjatham; Matt Minakais (CDC, 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 002; Indranil Pan; Amitava Gupta (CoRR, 2013)

Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms - Sayan Saha; Saptarshi Das; Anindya Pakhira; Sumit Mukherjee; Indranil Pan (CoRR, 2013)

Exact and asymptotic results on coarse Ricci curvature of graphs. - Bhaswar B. Bhattacharya; Sumit Mukherjee (Discret. Math., 2015)

Riboswitch Scanner: an efficient pHMM-based web-server to detect riboswitches in genomic sequences. - Sumit Mukherjee; Supratim Sengupta (Bioinform., 2016)

Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops. - Alberto Carignano; Sumit Mukherjee; Abhyudai Singh; Georg Seelig (CDC, 2018)

Identifying progressive gene network perturbation from single-cell RNA-seq data. - Sumit Mukherjee; Alberto Carignano; Georg Seelig; Su-In Lee (EMBC, 2018)

Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge. - Sumit Mukherjee; Yue Zhang 024; Joshua Fan 002; Georg Seelig; Sreeram Kannan (Bioinform., 2018)

RiboD: a comprehensive database for prokaryotic riboswitches. - Sumit Mukherjee; Sukhen Das Mandal; Nikita Gupta; Matan Drory Retwitzer; Danny Barash; Supratim Sengupta (Bioinform., 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)

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)

Monochromatic subgraphs in randomly colored graphons. - Bhaswar B. Bhattacharya; Sumit Mukherjee (Eur. J. Comb., 2019)

Limit theorems for monochromatic stars. - Bhaswar B. Bhattacharya; Sumit Mukherjee (Random Struct. Algorithms, 2019)

Estimation in Tournaments and Graphs Under Monotonicity Constraints. - Sabyasachi Chatterjee; Sumit Mukherjee (IEEE Trans. Inf. Theory, 2019)

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 (ICMLA, 2020)

Protecting GANs against privacy attacks by preventing overfitting. - Sumit Mukherjee; Yixi Xu; Anusua Trivedi; Juan Lavista Ferres (CoRR, 2020)

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. - Xiyang Liu; Yixi Xu; Sumit Mukherjee; Juan Lavista Ferres (CoRR, 2020)

The Second-Moment Phenomenon for Monochromatic Subgraphs. - Bhaswar B. Bhattacharya; Somabha Mukherjee; Sumit Mukherjee (SIAM J. Discret. Math., 2020)

Becoming Good at AI for Good. - Meghana Kshirsagar 001; Caleb Robinson; Siyu Yang; Shahrzad Gholami; Ivan S. Klyuzhin; Sumit Mukherjee; Md Nasir; Anthony Ortiz; Felipe Oviedo; Darren Tanner; Anusua Trivedi; Yixi Xu; et al. (AIES, 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 (GoodIT, 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 (GoodIT, 2021)

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises. - Mayana Pereira; Meghana Kshirsagar 001; Sumit Mukherjee; Rahul Dodhia; Juan Lavista Ferres (CoRR, 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)

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)

eXtreme Gradient Boosting Scheme for Fundus Vessels Separation. - Shirsendu Dhar; Sumit Mukherjee; Ranjit Ghoshal; Bibhas Chandra Dhara (CICBA, 2022)

Variational Inference in high-dimensional linear regression. - Sumit Mukherjee; Subhabrata Sen (J. Mach. Learn. Res., 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)

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data. - Mayana Pereira; Meghana Kshirsagar 001; Sumit Mukherjee; Rahul Dodhia; Juan Lavista Ferres; Rafael de Sousa (CoRR, 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., 2023)

On Naive Mean-Field Approximation for high-dimensional canonical GLMs. - Sumit Mukherjee; Jiaze Qiu; Subhabrata Sen (CoRR, 2024)

Synthesizing Proton-Density Fat Fraction and R2* from 2-point Dixon MRI with Generative Machine Learning. - Suma Anand; Kaiwen Xu; Colm O'Dushlaine; Sumit Mukherjee (CoRR, 2024)

Causal considerations can deterimine the utility of machine learning assisted GWAS. - Sumit Mukherjee; Zachary R. McCaw; David Amar; Rounak Dey; Thomas W. Soare; Hari Somineni; Nicholas Eriksson; Colm O'Dushlaine (CHIL, 2025)

Synthesizing Proton-Density Fat Fraction and $R_2^{ ast}$ from 2-Point Dixon MRI with Generative Machine Learning. - Suma Anand; Kaiwen Xu; Colm O'Dushlaine; Sumit Mukherjee (ISBI, 2025)

A multi-phase approach using supervised algorithms and clinical models to generate high-accuracy signatures for pancreatic cancer. - Akash Bararia; Agniswar Chakraborty; Gourav Ghosh; Debabrata Ghosh Dastidar; Sumit Mukherjee; Nilabja Sikdar (Comput. Biol. Medicine, 2025)