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KRISHNAN RAGHAVAN or R. Krishnan or K.Raghavan
KRISHNAN RAGHAVAN or R. Krishnan or K.Raghavan
Other namesK. Raghavan, R. Krishnan
Assistant Computational Mathematician, Argonne National Laboratory
Verified email at anl.gov - Homepage
Title
Cited by
Cited by
Year
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
412022
Formalizing the generalization-forgetting trade-off in continual learning
K Raghavan, P Balaprakash
Advances in Neural Information Processing Systems 34, 17284-17297, 2021
262021
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
92019
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
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
42022
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
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
32023
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
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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Articles 1–20