| 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 | 133 | 2010 |
| Planning in factored action spaces with symbolic dynamic programming A Raghavan, S Joshi, A Fern, P Tadepalli, R Khardon Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 34 | 2012 |
| Artificial intelligence in interactive storytelling MR Amer, TJ Meo, AN Raghavan, AC Tozzo, A Tamrakar, DA Salter, ... US Patent 10,789,755, 2020 | 24 | 2020 |
| Dynamic adaptation of deep neural networks SM Chai, AN Raghavan, S Parajuli US Patent App. 16/133,446, 2020 | 17 | 2020 |
| Symbolic opportunistic policy iteration for factored-action MDPs A Raghavan, R Khardon, A Fern, P Tadepalli Advances in Neural Information Processing Systems 26, 2013 | 17 | 2013 |
| 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 | 14 | 2019 |
| 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 | 14 | 2017 |
| 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 | 10 | 2017 |
| Bitnet: Bit-regularized deep neural networks A Raghavan, M Amer, S Chai, G Taylor arXiv preprint arXiv:1708.04788, 2017 | 10 | 2017 |
| 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 | 6 | 2019 |
| 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 | 6 | 2018 |
| 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 | 6 | 2013 |
| Low precision neural networks using subband decomposition S Chai, A Raghavan, D Zhang, M Amer, T Shields arXiv preprint arXiv:1703.08595, 2017 | 5 | 2017 |
| Memory-Effcient Symbolic Online Planning for Factored MDPs. A Raghavan, R Khardon, P Tadepalli, A Fern UAI, 732-741, 2015 | 5 | 2015 |
| 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 | 4 | 2018 |
| 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 | 4 | 2013 |
| Low precision neural networks using suband decomposition SM Chai, D Zhang, M Amer, TJ Sheilds, AN Raghavan US Patent App. 15/999,769, 2019 | 3 | 2019 |
| 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 | 2 | 2020 |
| Generative memory for lifelong reinforcement learning A Raghavan, J Hostetler, S Chai arXiv preprint arXiv:1902.08349, 2019 | 2 | 2019 |
| GPU Activity Prediction using Representation Learning A Raghavan, M Amer, T Shields, D Zhang, S Chai arXiv preprint arXiv:1703.09146, 2017 | 2 | 2017 |
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