4 papers
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias
Charanraj Thimmisetty, Praveen Tiwari, Didac Gil de la Iglesia +4
Analysis of large observational data sets generated by a reactive system is a common challenge in debugging system failures and determining their root cause. One of the major probl…
Boosted Embeddings for Time Series Forecasting
Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi +7
Time series forecasting is a fundamental task emerging from diverse data-driven applications. Many advanced autoregressive methods such as ARIMA were used to develop forecasting mo…
High-dimensional Stochastic Inversion via Adjoint Models and Machine Learning
Charanraj A. Thimmisetty, Wenju Zhao, Xiao Chen +2
Performing stochastic inversion on a computationally expensive forward simulation model with a high-dimensional uncertain parameter space (e.g. a spatial random field) is computati…
Power Distribution System Synchrophasors with Non-Gaussian Errors: Real-World Measurements and Analysis
Can Huang, Charanraj A. Thimmisetty, Xiao Chen +6
This letter studies the synchrophasor measurement error of electric power distribution systems with on-line and off-line measurements using graphical and numerical tests. It demons…