8 citations · 15 across the 7 of their papers we have counts for
12 papers
An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds
Amol Salunkhe, Georgios Georgalis, Abani Patra +1
Complete computation of turbulent combustion flow involves two separate steps: mapping reaction kinetics to low-dimensional manifolds and looking-up this approximate manifold durin…
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
Sreelekha Guggilam, Varun Chandola, Abani Patra
Most current anomaly detection methods suffer from the curse of dimensionality when dealing with high-dimensional data. We propose an anomaly detection algorithm that can scale to…
ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes
Prashant Shekhar, Beata Csatho, Tony Schenk +2
Modeling time series is a research focus in cryospheric sciences because of the complexity and multiscale nature of events of interest. Highly non-uniform sampling of measurements…
First application of the failure forecast method to the GPS horizontal displacement data collected in the Campi Flegrei caldera (Italy) in 2011-2020
Andrea Bevilacqua, Abani Patra, E. Bruce Pitman +8
Using the failure forecast method we describe a first assessment of failure time on present-day unrest signals at Campi Flegrei caldera (Italy) based on the horizontal deformation…
Hierarchical regularization networks for sparsification based learning on noisy datasets
Prashant Shekhar, Abani Patra
We propose a hierarchical learning strategy aimed at generating sparse representations and associated models for large noisy datasets. The hierarchy follows from approximation spac…
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
Sreelekha Guggilam, Syed M. A. Zaidi, Varun Chandola +1
Most current clustering based anomaly detection methods use scoring schema and thresholds to classify anomalies. These methods are often tailored to target specific data sets with…