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KRISHNAN RAGHAVAN or R. Krishnan or K.Raghavan
KRISHNAN RAGHAVAN or R. Krishnan or K.Raghavan
Otros nombresK. Raghavan, R. Krishnan
Assistant Computational Mathematician, Argonne National Laboratory
Dirección de correo verificada de anl.gov - Página principal
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Citado por
Citado por
Año
Autodeuq: Automated deep ensemble with uncertainty quantification
R Egele, R Maulik, K Raghavan, B Lusch, I Guyon, P Balaprakash
2022 26th International Conference on Pattern Recognition (ICPR), 1908-1914, 2022
402022
Formalizing the generalization-forgetting trade-off in continual learning
K Raghavan, P Balaprakash
Advances in Neural Information Processing Systems 34, 17284-17297, 2021
252021
Machine-learning-based inversion of nuclear responses
K Raghavan, P Balaprakash, A Lovato, N Rocco, SM Wild
Physical Review C 103 (3), 035502, 2021
242021
A multi-step nonlinear dimension-reduction approach with applications to big data
R Krishnan, VA Samaranayake, S Jagannathan
IEEE Transactions on Knowledge and Data Engineering 31 (12), 2249-2261, 2018
172018
A hierarchical dimension reduction approach for big data with application to fault diagnostics
R Krishnan, VA Samaranayake, S Jagannathan
Big Data Research 18, 100121, 2019
82019
Direct error driven learning for deep neural networks with applications to bigdata
R Krishnan, S Jagannathan, VA Samaranayake
Procedia computer science 144, 89-95, 2018
82018
Meta continual learning via dynamic programming
R Krishnan, P Balaprakash
arXiv preprint arXiv:2008.02219, 2020
72020
Distributed min–max learning scheme for neural networks with applications to high-dimensional classification
K Raghavan, S Garg, S Jagannathan, VA Samaranayake
IEEE transactions on neural networks and learning systems 32 (10), 4323-4333, 2020
52020
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
R Maulik, R Egele, K Raghavan, P Balaprakash
Physica D: Nonlinear Phenomena 454, 133852, 2023
42023
Direct error-driven learning for deep neural networks with applications to big data
R Krishnan, S Jagannathan, VA Samaranayake
IEEE Transactions on Neural Networks and Learning Systems 31 (5), 1763-1770, 2019
42019
Deep learning inspired prognostics scheme for applications generating big data
R Krishnan, S Jagannathan, VA Samaranayake
2017 International Joint Conference on Neural Networks (IJCNN), 3296-3302, 2017
42017
Workflow anomaly detection with graph neural networks
H Jin, K Raghavan, G Papadimitriou, C Wang, A Mandal, P Krawczuk, ...
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS …, 2022
32022
Online optimal adaptive control of a class of uncertain nonlinear discrete-time systems
R Moghadam, P Natarajan, K Raghavan, S Jagannathan
2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020
32020
Graph neural networks for detecting anomalies in scientific workflows
H Jin, K Raghavan, G Papadimitriou, C Wang, A Mandal, M Kiran, ...
The International Journal of High Performance Computing Applications 37 (3-4 …, 2023
22023
Optimal Adaptive Control of Partially Uncertain Linear Continuous-Time Systems with State Delay
R Moghadam, S Jagannathan, V Narayanan, K Raghavan
Handbook of Reinforcement Learning and Control, 243-272, 2021
22021
A game theoretic approach for addressing domain-shift in big-data
K Raghavan, S Jagannathan, VA Samaranayake
IEEE Transactions on Big Data 8 (6), 1610-1621, 2021
22021
Distributed learning of deep sparse neural networks for high-dimensional classification
S Garg, R Krishnan, S Jagannathan, VA Samaranayake
2018 IEEE International Conference on Big Data (Big Data), 1587-1592, 2018
22018
Hierarchical Mahalanobis Distance Clustering Based Technique for Prognostics in Applications Generating Big Data
R Krishnan, S Jagannathan
2015 IEEE Symposium Series on Computational Intelligence, 516-521, 2015
22015
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
G Papadimitriou, H Jin, C Wang, K Raghavan, A Mandal, P Balaprakash, ...
arXiv preprint arXiv:2306.09930, 2023
12023
Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging
O Yildiz, H Chan, K Raghavan, W Judge, MJ Cherukara, P Balaprakash, ...
2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine …, 2022
12022
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