Raghavan Krishnan
Orcid: 0000-0001-9409-2011
According to our database1,
Raghavan Krishnan
authored at least 29 papers
between 2015 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
CoRR, 2024
2023
Int. J. High Perform. Comput. Appl., July, 2023
CoRR, 2023
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles.
CoRR, 2023
SF-SFD: Stochastic Optimization of Fourier Coefficients to Generate Space-Filling Designs.
Proceedings of the Winter Simulation Conference, 2023
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations.
Proceedings of the IEEE International Conference on Cluster Computing, 2023
2022
IEEE Trans. Big Data, 2022
Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022
Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging.
Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Distributed Min-Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Online Optimal Adaptive Control of a Class of Uncertain Nonlinear Discrete-time Systems.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics.
Big Data Res., 2019
2018
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2015
Hierarchical Mahalanobis Distance Clustering Based Technique for Prognostics in Applications Generating Big Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015