Data-Driven Sparse Sensor Placement. - Krithika Manohar; Bingni W. Brunton; J. Nathan Kutz; Steven L. Brunton (CoRR, 2017)

Risk Factors Discriminating Online Metropolitan Women Shoppers: A Behavioural Analysis. - G. Rajini; Krithika Manohar (Int. J. Cyber Behav. Psychol. Learn., 2017)

Sparse Principal Component Analysis via Variable Projection. - N. Benjamin Erichson; Peng Zeng; Krithika Manohar; Steven L. Brunton; J. Nathan Kutz; Aleksandr Y. Aravkin (CoRR, 2018)

Optimal Sensor and Actuator Placement using Balanced Model Reduction. - Krithika Manohar; J. Nathan Kutz; Steven L. Brunton (CoRR, 2018)

Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification. - Wei Guo 008; Krithika Manohar; Steven L. Brunton; Ashis Gopal Banerjee (IEEE Trans. Knowl. Data Eng., 2018)

Optimized Sampling for Multiscale Dynamics. - Krithika Manohar; Eurika Kaiser; Steven L. Brunton; J. Nathan Kutz (Multiscale Model. Simul., 2019)

Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning. - Steven L. Brunton; J. Nathan Kutz; Krithika Manohar; Aleksandr Y. Aravkin; Kristi Morgansen; Jennifer Klemisch; Nicholas Goebel; James Buttrick; Jeffrey Poskin; Agnes Blom-Schieber; Thomas A. Hogan; Darren McDonald (CoRR, 2020)

Randomized CP tensor decomposition. - N. Benjamin Erichson; Krithika Manohar; Steven L. Brunton; J. Nathan Kutz (Mach. Learn. Sci. Technol., 2020)

Sparse Principal Component Analysis via Variable Projection. - N. Benjamin Erichson; Peng Zheng 002; Krithika Manohar; Steven L. Brunton; J. Nathan Kutz; Aleksandr Y. Aravkin (SIAM J. Appl. Math., 2020)

PySensors: A Python package for sparse sensor placement. - Brian M. de Silva; Krithika Manohar; Emily Clark; Bingni W. Brunton; J. Nathan Kutz; Steven L. Brunton (J. Open Source Softw., 2021)

Kernel Analog Forecasting: Multiscale Test Problems. - Dmitry Burov; Dimitrios Giannakis; Krithika Manohar; Andrew Stuart (Multiscale Model. Simul., 2021)

PySensors: A Python Package for Sparse Sensor Placement. - Brian M. de Silva; Krithika Manohar; Emily Clark; Bingni W. Brunton; J. Nathan Kutz; Steven L. Brunton (Zenodo, 2021)

Optimal Sensor and Actuator Selection Using Balanced Model Reduction. - Krithika Manohar; J. Nathan Kutz; Steven L. Brunton (IEEE Trans. Autom. Control., 2022)

Optimal Sensor Placement with Adaptive Constraints for Nuclear Digital Twins. - Niharika Karnik; Mohammad G. Abdo; Carlos E. Estrada Perez; Jun Soo Yoo; Joshua J. Cogliati; Richard S. Skifton; Pattrick Calderoni; Steven L. Brunton; Krithika Manohar (CoRR, 2023)

Data-Induced Interactions of Sparse Sensors. - Andrei A. Klishin; J. Nathan Kutz; Krithika Manohar (CoRR, 2023)

AI Institute in Dynamic Systems: Developing machine learning and AI tools for scientific discovery, engineering design, and data-driven control. - J. Nathan Kutz; Steven L. Brunton; Krithika Manohar; Hod Lipson; Na Li 002 (AI Mag., 2024)

Statistical Mechanics of Dynamical System Identification. - Andrei A. Klishin; Joseph Bakarji; J. Nathan Kutz; Krithika Manohar (CoRR, 2024)

Data-Driven Ergonomic Risk Assessment of Complex Hand-intensive Manufacturing Processes. - Anand Krishnan; Xingjian Yang; Utsav Seth; Jonathan M. Jeyachandran; Jonathan Y. Ahn; Richard Gardner; Samuel F. Pedigo; Adriana Blom-Schieber; Ashis G. Banerjee; Krithika Manohar (CoRR, 2024)

Reservoir computing for system identification and predictive control with limited data. - Jan P. Williams; J. Nathan Kutz; Krithika Manohar (CoRR, 2024)