Aswin Raghavan
Title
Cited by
Cited by
Year
Accurate mobile robot localization in indoor environments using bluetooth
AN Raghavan, H Ananthapadmanaban, MS Sivamurugan, B Ravindran
2010 IEEE international conference on robotics and automation, 4391-4396, 2010
1202010
Planning in factored action spaces with symbolic dynamic programming
A Raghavan, S Joshi, A Fern, P Tadepalli, R Khardon
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
302012
Symbolic opportunistic policy iteration for factored-action MDPs
A Raghavan, R Khardon, A Fern, P Tadepalli
Proceedings of the 26th International Conference on Neural Information …, 2013
162013
Power-grid controller anomaly detection with enhanced temporal deep learning
Z He, A Raghavan, G Hu, S Chai, R Lee
2019 18th IEEE International Conference On Trust, Security And Privacy In …, 2019
122019
Bitnet: Bit-regularized deep neural networks
A Raghavan, M Amer, S Chai, G Taylor
arXiv preprint arXiv:1708.04788, 2017
102017
Artificial intelligence in interactive storytelling
MR Amer, TJ Meo, AN Raghavan, AC Tozzo, A Tamrakar, DA Salter, ...
US Patent 10,789,755, 2020
82020
Hindsight optimization for hybrid state and action MDPs
A Raghavan, S Sanner, R Khardon, P Tadepalli, A Fern
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
82017
Systems and methods for optimizing operations of computing devices using deep neural networks
SM Chai, DC Zhang, MR Amer, TJ Shields, AN Raghavan, B Ramamurthy
US Patent App. 15/625,578, 2017
62017
Low precision neural networks using subband decomposition
S Chai, A Raghavan, D Zhang, M Amer, T Shields
arXiv preprint arXiv:1703.08595, 2017
62017
Solving relational mdps with exogenous events and additive rewards
S Joshi, R Khardon, P Tadepalli, A Raghavan, A Fern
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
62013
Dynamic adaptation of deep neural networks
SM Chai, AN Raghavan, S Parajuli
US Patent App. 16/133,446, 2020
52020
Aesop: A visual storytelling platform for conversational ai and common sense grounding
TJ Meo, C Kim, A Raghavan, A Tozzo, DA Salter, A Tamrakar, MR Amer
AI Communications 32 (1), 59-76, 2019
42019
Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks
S Parajuli, A Raghavan, S Chai
arXiv preprint arXiv:1811.04985, 2018
42018
Detecting zero-day controller hijacking attacks on the power-grid with enhanced deep learning
Z He, A Raghavan, S Chai, R Lee
arXiv preprint arXiv:1806.06496, 2018
42018
Relational Markov decision processes: Promise and prospects
S Joshi, R Khardon, P Tadepalli, A Fern, A Raghavan
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
42013
Low precision neural networks using suband decomposition
SM Chai, D Zhang, M Amer, TJ Sheilds, AN Raghavan
US Patent App. 15/999,769, 2019
32019
Memory-Effcient Symbolic Online Planning for Factored MDPs.
A Raghavan, R Khardon, P Tadepalli, A Fern
UAI, 732-741, 2015
32015
GPU Activity Prediction using Representation Learning
A Raghavan, M Amer, T Shields, D Zhang, S Chai
arXiv preprint arXiv:1703.09146, 2017
22017
Bidirectional online probabilistic planning
AN Raghavan, S Joshi, A Fern, P Tadepalli
the Proceedings of the 22nd International Conference on Automated Planning …, 2012
22012
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
A Raghavan, J Hostetler, I Sur, A Rahman, A Divakaran
arXiv preprint arXiv:2007.06918, 2020
12020
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