Clustering algorithms to obtain regions of interest: a comparative study. - Claudio M. Privitera; Nikhil Krishnan; Lawrence W. Stark (Human Vision and Electronic Imaging, 2000)

Performance of parallel two-pass MDL context tree algorithm. - Nikhil Krishnan; Dror Baron (GlobalSIP, 2014)

A parallel two-pass MDL context tree algorithm for universal source coding. - Nikhil Krishnan; Dror Baron; Mehmet Kivanç Mihçak (ISIT, 2014)

Empirical Bayes and Full Bayes for Signal Estimation. - Yanting Ma; Jin Tan; Nikhil Krishnan; Dror Baron (CoRR, 2014)

A Universal Parallel Two-Pass MDL Context Tree Compression Algorithm. - Nikhil Krishnan; Dror Baron (IEEE J. Sel. Top. Signal Process., 2015)

Synaptic efficacy shapes resource limitations in working memory. - Nikhil Krishnan; Daniel B. Poll; Zachary P. Kilpatrick (J. Comput. Neurosci., 2018)

An introduction to using counterdiabatic driving to eliminate genetic lag in changing environments. - Emily L. Dolson; Shamreen Iram; Joshua Chiel; Julia Pelesko; Nikhil Krishnan; Özenç Güngör; Benjamin Kuznets-Speck; Sebastian Deffner; Efe Ilker; Jacob G. Scott; Michael Hinczewski (ALIFE, 2020)

Attention guided complementary feature integration for latent image recovery from noisy/blurry pairs. - Green Rosh K. S; Sachin Deepak Lomte; Nikhil Krishnan; B. H. Pawan Prasad (ICVGIP, 2021)

Content Preserving Scale Space Network for Fast Image Restoration from Noisy-Blurry Pairs. - Green Rosh K. S; Nikhil Krishnan; B. H. Pawan Prasad; Sachin Deepak Lomte (ICASSP, 2022)

Reinforcement learning paycheck optimization for multivariate financial goals. - Melda Alaluf; Giulia Crippa; Sinong Geng; Zijian Jing; Nikhil Krishnan; Sanjeev Kulkarni 001; Wyatt Navarro; Ronnie Sircar; Jonathan Tang (Risk Decis. Anal., 2023)

Financial Data Analysis with Robust Federated Logistic Regression. - Kun Yang; Nikhil Krishnan; Sanjeev R. Kulkarni (CoRR, 2025)