Soumalya Sarkar

According to our database1, Soumalya Sarkar authored at least 23 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks.
CoRR, 2024

Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension.
CoRR, 2024

2023
LLMs for Multi-Modal Knowledge Extraction and Analysis in Intelligence/Safety-Critical Applications.
CoRR, 2023

Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks.
CoRR, 2023

2021
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems.
CoRR, 2021

2016
Algorithms for Context Learning and Information Representation for Multi-Sensor Teams.
Proceedings of the Context-Enhanced Information Fusion, 2016

Symbolization of dynamic data-driven systems for signal representation.
Signal Image Video Process., 2016

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video.
CoRR, 2016

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities.
Proceedings of the 2016 American Control Conference, 2016

2015
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video.
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Dynamic data-driven symbolic causal modeling for battery performance & health monitoring.
Proceedings of the 18th International Conference on Information Fusion, 2015

Real-time activity recognition from seismic signature via multi-scale symbolic time series analysis (MSTSA).
Proceedings of the American Control Conference, 2015

Alphabet size selection for symbolization of dynamic data-driven systems: An information-theoretic approach.
Proceedings of the American Control Conference, 2015

2014
Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes.
Frontiers Robotics AI, 2014

Context-aware Dynamic Data-driven Pattern Classification.
Proceedings of the International Conference on Computational Science, 2014

Early detection of lean blow out (LBO) via generalized D-Markov machine construction.
Proceedings of the American Control Conference, 2014

2013
Performance comparison of feature extraction algorithms for target detection and classification.
Pattern Recognit. Lett., 2013

Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification.
Proceedings of the International Conference on Computational Science, 2013

A Bluetooth-Based Autonomous Mining System.
Proceedings of the Intelligent Computing, 2013

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems.
Proceedings of the American Control Conference, 2013

Anomaly detection in flight recorder data: A dynamic data-driven approach.
Proceedings of the American Control Conference, 2013

2012
A unified framework for supervised learning of semantic models.
Proceedings of the American Control Conference, 2012

Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines.
Proceedings of the American Control Conference, 2012


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