Ramakrishna Tipireddy
Ramakrishna Tipireddy
Palo Alto Networks
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Basis adaptation in homogeneous chaos spaces
R Tipireddy, R Ghanem
Journal of Computational Physics 259, 304-317, 2014
A Kalman filter based strategy for linear structural system identification based on multiple static and dynamic test data
R Tipireddy, HA Nasrellah, CS Manohar
Probabilistic Engineering Mechanics 24 (1), 60-74, 2009
A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations
R Tipireddy, P Perdikaris, P Stinis, A Tartakovsky
arXiv preprint arXiv:1904.04058, 2019
Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models
R Tipireddy, DA Barajas-Solano, AM Tartakovsky
Journal of Computational Physics 418, 109604, 2020
Physics-informed machine learning method for forecasting and uncertainty quantification of partially observed and unobserved states in power grids
R Tipireddy, A Tartakovsky
arXiv preprint arXiv:1806.10990, 2018
Basis adaptation and domain decomposition for steady partial differential equations with random coefficients
R Tipireddy, P Stinis, A Tartakovsky
Journal of Computational Physics 351, 203--215, 2017
Analytical approximation and numerical studies of one-dimensional elliptic equation with random coefficients
Z Xu, R Tipireddy, G Lin
Applied Mathematical Modelling 40 (9-10), 5542-5559, 2016
Agent-centric approach for cybersecurity decision-support with partial observability
R Tipireddy, S Chatterjee, P Paulson, M Oster, M Halappanavar
2017 IEEE international symposium on technologies for Homeland Security (HST …, 2017
Quantifying mixed uncertainties in cyber attacker payoffs
S Chatterjee, M Halappanavar, R Tipireddy, M Oster, S Saha
2015 IEEE international symposium on Technologies for Homeland Security (HST …, 2015
Electric load and power forecasting using ensemble gaussian process regression
T Ma, DA Barajas-Solano, R Huang, AM Tartakovsky
Journal of Machine Learning for Modeling and Computing 3 (2), 2022
Virtual Sensors for Robust On-Line Monitoring (OLM) and Diagnostics
R Tipireddy, M Lerchen, P Ramuhalli
NPIC&HMIT 2017, San Francisco, CA, June 11-15, 2017, 2017
Propagating mixed uncertainties in cyber attacker payoffs: exploration of two-phase Monte Carlo sampling and probability bounds analysis
S Chatterjee, R Tipireddy, M Oster, M Halappanavar
2016 IEEE Symposium on Technologies for Homeland Security (HST), 1-6, 2016
Stochastic basis adaptation and spatial domain decomposition for partial differential equations with random coefficients
R Tipireddy, P Stinis, AM Tartakovsky
SIAM/ASA Journal on Uncertainty Quantification 6 (1), 273-301, 2018
Robust online monitoring technology for calibration assessment of transmitters and instrumentation
P Ramuhalli, S Boring, R Tipireddy, B Shumaker, J Coble, M Lerchen, ...
technical Report PNNL-26919, 2017
Spatially-degraded adhesive anchors under material uncertainty
R Tipireddy, S Kumar
International Journal of Adhesion and Adhesives 76, 61-69, 2017
Game theory and uncertainty quantification for cyber defense applications
S Chatterjee, M Halappanavar, R Tipireddy, MR Oster
SIAM News 49 (6), 2016
A comparison of solution methods for stochastic partial differential equations
R Tipireddy, ET Phipps, RG Ghanem
CSRI Summer Proceedings, 79-90, 2010
Physics-informed Gaussian process regression for states estimation and forecasting in power grids
AM Tartakovsky, T Ma, DA Barajas-Solano, R Tipireddy
International Journal of Forecasting 39 (2), 967-980, 2023
FPDetect Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation
A Das, S Krishnamoorthy, I Briggs, G Gopalakrishnan, R Tipireddy
ACM Transactions on Architecture and Code Optimization (TACO) 17 (3), 1-27, 2020
Robust Online Monitoring for Calibration Assessment of Transmitters and Instrumentation
P Ramuhalli, R Tipireddy, M Lerchen, JB Coble, A Nair, S Boring, ...
Advanced Sensors and Instrumentation Newsletter, 7 (September 2017): 4-8, 2017
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