Vishnu TV
Title
Cited by
Cited by
Year
Multi-sensor prognostics using an unsupervised health index based on LSTM encoder-decoder
P Malhotra, V TV, A Ramakrishnan, G Anand, L Vig, P Agarwal, G Shroff
arXiv preprint arXiv:1608.06154, 2016
1052016
Predicting remaining useful life using time series embeddings based on recurrent neural networks
N Gugulothu, V Tv, P Malhotra, L Vig, P Agarwal, G Shroff
arXiv preprint arXiv:1709.01073, 2017
682017
TimeNet: Pre-trained deep recurrent neural network for time series classification
P Malhotra, V TV, L Vig, P Agarwal, G Shroff
arXiv preprint arXiv:1706.08838, 2017
632017
Online anomaly detection with concept drift adaptation using recurrent neural networks
S Saurav, P Malhotra, V TV, N Gugulothu, L Vig, P Agarwal, G Shroff
Proceedings of the ACM India Joint International Conference on Data Science …, 2018
182018
Meta-Learning for Black-box Optimization
V TV, P Malhotra, J Narwariya, V Lovekesh, S Gautam
European Conference on Machine Learning and Principles and Practice of …, 2019
17*2019
Meta-learning for few-shot time series classification
J Narwariya, P Malhotra, L Vig, G Shroff, TV Vishnu
Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 28-36, 2020
62020
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder. arXiv 2016
P Malhotra, V Tv, A Ramakrishnan, G Anand, L Vig, P Agarwal, G Shroff
arXiv preprint arXiv:1608.06154, 0
6
Data-driven prognostics with predictive uncertainty estimation using ensemble of deep ordinal regression models
V TV, P Malhotra, L Vig, G Shroff
arXiv preprint arXiv:1903.09795, 2019
52019
On practical aspects of using RNNs for fault detection in sparsely-labeled multi-sensor time series
N Gugulothu, TV Vishnu, P Gupta, P Malhotra, L Vig, P Agarwal, G Shroff
Annual Conference of the PHM Society 10 (1), 2018
42018
Recurrent neural networks for online remaining useful life estimation in ion mill etching system
TV Vishnu, P Gupta, P Malhotra, L Vig, G Shroff
Annual Conference of the PHM Society 10 (1), 2018
42018
Bayesian networks for interpretable health monitoring of complex systems
TV Vishnu, N Gugulothu, P Malhotra, L Vig, P Agarwal, G Shroff
Workshop on AI for Internet of Things at IJCAI, 2017
32017
Regularizing fully convolutional networks for time series classification by decorrelating filters
K Paneri, TV Vishnu, P Malhotra, L Vig, G Shroff
Proceedings of the AAAI Conference on Artificial Intelligence 33, 10003-10004, 2019
12019
Deep Ordinal Regression for Remaining Useful Life Estimation from Censored Data
TV Vishnu, P Malhotra, L Vig, G Shroff
Joint Workshop on Deep Learning for Safety-Critical Applications in …, 2018
12018
Method and system for health monitoring and fault signature identification
P Malhotra, TV Vishnu, N Gugulothu, L Vig, P Agarwal, G Shroff
US Patent 10,719,774, 2020
2020
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation
J Narwariya, P Malhotra, V TV, L Vig, G Shroff
arXiv preprint arXiv:2006.16556, 2020
2020
Failed and censored instances based remaining useful life (rul) estimation of entities
P Malhotra, V Tv, L Vig, G Shroff
US Patent App. 16/352,587, 2020
2020
Meta-Learning for Black-Box Optimization
TV Vishnu, P Malhotra, J Narwariya, L Vig, G Shroff
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
2019
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