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Rajat Kumar
Rajat Kumar
Data Science Associate II @ Philips Research | Ex-TCS Research
Verified email at philips.com - Homepage
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Towards reproducible state-of-the-art energy disaggregation
N Batra, R Kukunuri, A Pandey, R Malakar, R Kumar, O Krystalakos, ...
Proceedings of the 6th ACM International Conference on Embedded Systems for …, 2019
1192019
Image based Indian monument recognition using convoluted neural networks
A Saini, T Gupta, R Kumar, AK Gupta, M Panwar, A Mittal
2017 International Conference on Big Data, IoT and Data Science (BID), 138-142, 2017
462017
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering
R Kumar, M Patidar, V Varshney, L Vig, G Shroff
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
102022
A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK
N Batra, R Kukunuri, A Pandey, R Malakar, R Kumar, O Krystalakos, ...
Proceedings of the 6th ACM international conference on systems for energy …, 2019
102019
Prompt augmented generative replay via supervised contrastive training for lifelong intent detection
V Varshney, M Patidar, R Kumar, G Shroff, L Vig
US Patent App. 18/215,972, 2024
82024
Cross-Platform Performance Prediction with Transfer Learning using Machine Learning
R Kumar, A Mankodi, A Bhatt, B Chaudhury, A Amrutiya
2020 11th International Conference on Computing, Communication and …, 2020
52020
Evaluating machine learning models for disparate computer systems performance prediction
A Mankodi, A Bhatt, B Chaudhury, R Kumar, A Amrutiya
2020 IEEE International Conference on Electronics, Computing and …, 2020
32020
Modeling Performance and Power on Disparate Platforms Using Transfer Learning with Machine Learning Models
A Mankodi, A Bhatt, B Chaudhury, R Kumar, A Amrutiya
Modeling, Simulation and Optimization: Proceedings of CoMSO 2020, 231, 2021
12021
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