Krithika Manohar

According to our database, Krithika Manohar authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

Reservoir computing for system identification and predictive control with limited data.

Jan P. Williams, 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

Statistical Mechanics of Dynamical System Identification.

Andrei A. Klishin, Joseph Bakarji, J. Nathan Kutz, Krithika Manohar

CoRR, 2024

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

AI Mag., 2024

2023

Data-Induced Interactions of Sparse Sensors.

Andrei A. Klishin, J. Nathan Kutz, Krithika Manohar

CoRR, 2023

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

2022

Optimal Sensor and Actuator Selection Using Balanced Model Reduction.

Krithika Manohar, J. Nathan Kutz, Steven L. Brunton

IEEE Trans. Autom. Control., 2022

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

J. Open Source Softw., 2021

2020

Sparse Principal Component Analysis via Variable Projection.

N. Benjamin Erichson, Peng Zheng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin

SIAM J. Appl. Math., 2020

Randomized CP tensor decomposition.

N. Benjamin Erichson, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz

Mach. Learn. Sci. Technol., 2020

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

2019

Optimized Sampling for Multiscale Dynamics.

Krithika Manohar, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz

Multiscale Model. Simul., 2019

2018

Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification.

Wei Guo, Krithika Manohar, Steven L. Brunton, Ashis Gopal Banerjee

IEEE Trans. Knowl. Data Eng., 2018

Optimal Sensor and Actuator Placement using Balanced Model Reduction.

Krithika Manohar, J. Nathan Kutz, Steven L. Brunton

CoRR, 2018

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

2017

Risk Factors Discriminating Online Metropolitan Women Shoppers: A Behavioural Analysis.

G. Rajini, Krithika Manohar

Int. J. Cyber Behav. Psychol. Learn., 2017

Data-Driven Sparse Sensor Placement.

Krithika Manohar, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton

CoRR, 2017