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Charanraj Thimmisetty
Charanraj Thimmisetty
Palo Alto Networks
Verified email at paloaltonetworks.com
Title
Cited by
Cited by
Year
Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem
C Thimmisetty, P Tsilifis, R Ghanem
Ai Edam 31 (3), 265-276, 2017
272017
Optimal well-placement using probabilistic learning
R Ghanem, C Soize, C Thimmisetty
Data-Enabled Discovery and Applications 2, 1-16, 2018
202018
Boosted embeddings for time-series forecasting
SR Karingula, N Ramanan, R Tahmasbi, M Amjadi, D Jung, R Si, ...
International Conference on Machine Learning, Optimization, and Data Science …, 2021
172021
Power distribution system synchrophasor measurements with non-Gaussian noises: Real-world data testing and analysis
C Huang, C Thimmisetty, X Chen, E Stewart, P Top, M Korkali, V Donde, ...
IEEE Open Access Journal of Power and Energy 8, 223-228, 2021
172021
Multiscale stochastic representation in high-dimensional data using Gaussian processes with implicit diffusion metrics
C Thimmisetty, A Khodabakhshnejad, N Jabbari, F Aminzadeh, ...
Dynamic Data-Driven Environmental Systems Science: First International …, 2015
162015
High-dimensional intrinsic interpolation using Gaussian process regression and diffusion maps
CA Thimmisetty, RG Ghanem, JA White, X Chen
Mathematical Geosciences 50, 77-96, 2018
152018
A Probabilistic Approach to the NASA Langley Multidisciplinary Uncertainty Quantification Challenge Problem
R Ghanem, C Thimmisetty, I Yadegaran, V Keshavarzzadeh, S Masri, ...
15*2014
Multiscale stochastic representations using polynomial chaos expansions with gaussian process coefficients
C Thimmisetty, F Aminzadeh, K Rose, R Ghanem
Data-Enabled Discovery and Applications 2, 1-16, 2018
62018
Risks and impact assessment for deepwater and ultra-deepwater Gulf of Mexico resources
K Rose, F Aminzadeh, R Ghanem, C Thimmisetty, N Jabbari, ...
Offshore Technology Conference, D021S025R003, 2014
42014
Adapting the national energy technology laboratory’s offshore integrated assessment modeling approach for the offshore arctic
L Romeo, K Rose, JR Bauer, C Disenhof, L Sim, J Nelson, C Thimmisetty, ...
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2015
22015
High-dimensional Stochastic Inversion via Adjoint Models and Machine Learning
CA Thimmisetty, W Zhao, X Chen, CH Tong, JA White
arXiv preprint arXiv:1803.06295, 2018
12018
Power distribution system synchrophasors with non-gaussian errors: Real-world measurements and analysis
C Huang, CA Thimmisetty, X Chen, M Korkali, V Donde, E Stewart, P Top, ...
arXiv preprint arXiv:1803.06230, 2018
12018
Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem.
R Ghanem, X Du, C Thimmisetty, P Tsilifis
AI EDAM 31 (3), 2017
12017
Computational framework for modeling of physical process
X Chen, C Huang, L Min, C Thimmisetty, C Tong, Y Xu, L Mili
US Patent 11,914,937, 2024
2024
Computational framework for modeling of physical process
X Chen, C Huang, L Min, C Thimmisetty, C Tong
US Patent 11,580,280, 2023
2023
Combined machine learning and formal techniques for network traffic analysis
C Thimmisetty, P Tiwari, V Ananthakrishnan, CJN Coelho
US Patent App. 17/447,471, 2022
2022
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias
C Thimmisetty, P Tiwari, DG de la Iglesia, N Ramanan, M Sayer, ...
arXiv preprint arXiv:2105.14149, 2021
2021
Boosted Embeddings for Time Series Forecasting
S Rao Karingula, N Ramanan, R Tahmasbi, M Amjadi, D Jung, R Si, ...
arXiv e-prints, arXiv: 2104.04781, 2021
2021
Efficient Stochastic Inversion Using Adjoint Models and Kernel-PCA
X Chen, CA Thimmisetty, CH Tong, JA White, C Morency, C Huang, ...
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2018
2018
Power Distribution System with Non-Gaussian Measurement Errors: Real-World Measurements and Analysis
C Huang, C Thimmisetty, X Chen, M Korkali, E Stewart, P Top, C Tong, ...
2017
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