Takip et
Sunil Mallya
Sunil Mallya
Flip AI. prev - Amazon Web Services, Neon Labs
flip.ai üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Deepracer: Autonomous racing platform for experimentation with sim2real reinforcement learning
B Balaji, S Mallya, S Genc, S Gupta, L Dirac, V Khare, G Roy, T Sun, ...
2020 IEEE international conference on robotics and automation (ICRA), 2746-2754, 2020
118*2020
Robust multi-agent reinforcement learning with model uncertainty
K Zhang, T Sun, Y Tao, S Genc, S Mallya, T Basar
Advances in neural information processing systems 33, 10571-10583, 2020
702020
Label semantics for few shot named entity recognition
J Ma, M Ballesteros, S Doss, R Anubhai, S Mallya, Y Al-Onaizan, D Roth
arXiv preprint arXiv:2203.08985, 2022
632022
Selecting a high valence representative image
M Desnoyer, S Lebrecht, S Mallya, DB Johnson, PM Furlong, MJ Tarr, ...
US Patent 9,715,731, 2017
492017
Repaint: Knowledge transfer in deep reinforcement learning
Y Tao, S Genc, J Chung, T Sun, S Mallya
International Conference on Machine Learning, 10141-10152, 2021
23*2021
Reinforcement learning model training through simulation
SM Kasaragod, S Genc, LP Dirac, B Balaji, EL Sun, MCDC Wentzel
US Patent 11,836,577, 2023
202023
Training models for IOT devices
SM Kasaragod, A Khanna, CYR Kuo
US Patent 11,108,575, 2021
202021
The ai driving olympics at neurips 2018
J Zilly, J Tani, B Considine, B Mehta, AF Daniele, M Diaz, G Bernasconi, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
192020
Simulation modeling exchange
S Genc, SM Kasaragod, LP Dirac, B Balaji, S Gupta
US Patent App. 16/201,864, 2020
132020
Effectiveness of lstms in predicting congestive heart failure onset
S Mallya, M Overhage, N Srivastava, T Arai, C Erdman
arXiv preprint arXiv:1902.02443, 2019
122019
Zero-shot reinforcement learning with deep attention convolutional neural networks
S Genc, S Mallya, S Bodapati, T Sun, Y Tao
arXiv preprint arXiv:2001.00605, 2020
112020
Simulation orchestration for training reinforcement learning models
SM Kasaragod, S Gene, LP Dirac, B Balaji, EL Sun, MCDC Wentzel, ...
US Patent 11,429,762, 2022
102022
Split predictions for IoT devices
SM Kasaragod, A Khanna, CYR Kuo
US Patent 10,980,085, 2021
52021
SAVEHR: self attention vector representations for EHR based personalized chronic disease onset prediction and interpretability
S Mallya, M Overhage, S Bodapati, N Srivastava, S Genc
arXiv preprint arXiv:1911.05370, 2019
32019
Entracker-Energy tracker for homes
S Mallya
Department of Computer Science. Providence, Rhode Island, Brown. Master’s thesis, 2011
32011
Automated thumbnail selection for online video
S Lebrecht, MJ Tarr, DB Johnson, M Desnoyer, SM Kasaragod
US Patent 9,501,779, 2016
22016
Split predictions for IoT devices
SM Kasaragod, A Khanna, CYR Kuo
US Patent 11,412,574, 2022
12022
Model tiering for IoT device clusters
SM Kasaragod, A Khanna, CYR Kuo
US Patent 11,902,396, 2024
2024
Contrastive training improves zero-shot classification of semi-structured documents
M Khalifa, Y Vyas, S Wang, G Horwood, S Mallya, M Ballesteros
arXiv preprint arXiv:2210.05613, 2022
2022
Learning Robust Motion Planning for Large-Scale Deployment of Autonomous Driving Agents
S Genc, S Mallya, B Balaji, T Sun, S Gupta, V Khare, L Dirac, E Calleja, ...
2019
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