| 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 | 152 | 2010 |
| Dynamic adaptation of deep neural networks SM Chai, AN Raghavan, S Parajuli US Patent 11,429,862, 2022 | 116 | 2022 |
| Artificial intelligence in interactive storytelling MR Amer, TJ Meo, AN Raghavan, AC Tozzo, A Tamrakar, DA Salter, ... US Patent 10,789,755, 2020 | 89 | 2020 |
| 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), 1802-1808, 2012 | 38 | 2012 |
| 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 | 29 | 2019 |
| A domain-agnostic approach for characterization of lifelong learning systems MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ... Neural Networks 160, 274-296, 2023 | 22 | 2023 |
| Symbolic opportunistic policy iteration for factored-action MDPs A Raghavan, R Khardon, A Fern, P Tadepalli Advances in Neural Information Processing Systems 26, 2013 | 19 | 2013 |
| 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 | 17 | 2017 |
| Bitnet: Bit-regularized deep neural networks A Raghavan, M Amer, S Chai, G Taylor arXiv preprint arXiv:1708.04788, 2017 | 16 | 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 | 10 | 2019 |
| Model-free generative replay for lifelong reinforcement learning: Application to starcraft-2 Z Daniels, A Raghavan, J Hostetler, A Rahman, I Sur, M Piacentino, ... arXiv preprint arXiv:2208.05056, 2022 | 9 | 2022 |
| 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 | 9 | 2018 |
| 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 | 8 | 2020 |
| Detecting zero-day controller hijacking attacks on the power-grid with enhanced deep learning Z He, A Raghavan, SM Chai, RB Lee arXiv preprint arXiv:1806.06496, 2018 | 7 | 2018 |
| Low precision neural networks using subband decomposition S Chai, A Raghavan, D Zhang, M Amer, T Shields arXiv preprint arXiv:1703.08595, 2017 | 6 | 2017 |
| Solving relational mdps with exogenous events and additive rewards S Joshi, R Khardon, P Tadepalli, A Raghavan, A Fern Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 6 | 2013 |
| Memory-Effcient Symbolic Online Planning for Factored MDPs. A Raghavan, R Khardon, P Tadepalli, A Fern UAI, 732-741, 2015 | 5 | 2015 |
| Saccade Mechanisms for Image Classification, Object Detection and Tracking S Farkya, Z Daniels, AN Raghavan, D Zhang, M Piacentino arXiv preprint arXiv:2206.05102, 2022 | 4 | 2022 |
| Real-time hyper-dimensional reconfiguration at the edge using hardware accelerators I Kandaswamy, S Farkya, Z Daniels, G van der Wal, A Raghavan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| Bidirectional online probabilistic planning AN Raghavan, S Joshi, A Fern, P Tadepalli the Proceedings of the 22nd International Conference on Automated Planning …, 2012 | 4 | 2012 |
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