| Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature 620 (7972), 172-180, 2023 | 1342 | 2023 |
| Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... arXiv preprint arXiv:2212.13138, 2022 | 441 | 2022 |
| Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor D Seita, A Ganapathi, R Hoque, M Hwang, E Cen, AK Tanwani, ... | 142 | 2020 |
| Visuospatial foresight for multi-step, multi-task fabric manipulation R Hoque, D Seita, A Balakrishna, A Ganapathi, AK Tanwani, N Jamali, ... arXiv preprint arXiv:2003.09044, 2020 | 121 | 2020 |
| Deep transfer learning of pick points on fabric for robot bed-making D Seita, N Jamali, M Laskey, AK Tanwani, R Berenstein, P Baskaran, ... The International Symposium of Robotics Research, 275-290, 2019 | 119* | 2019 |
| Guidelines to select machine learning scheme for classification of biomedical datasets AK Tanwani, J Afridi, MZ Shafiq, M Farooq Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2009 | 117 | 2009 |
| A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering AK Tanwani, N Mor, J Kubiatowicz, JE Gonzalez, K Goldberg | 99 | 2019 |
| Learning Robot Manipulation Tasks with Task-Parameterized Semi-Tied Hidden Semi-Markov Model AK Tanwani, S Calinon IEEE Robotics and Automation Letters 1 (1), 235-242, 2016 | 94 | 2016 |
| Autonomous reinforcement learning with experience replay P Wawrzyński, AK Tanwani Neural Networks 41, 156-167, 2013 | 73 | 2013 |
| Dexterous Underwater Manipulation from Distant Onshore Locations A Birk, T Doernbach, CA Müller, T Luczynski, AG Chavez, D Köhntopp, ... | 71* | 2018 |
| A Generative Model for Intention Recognition and Manipulation Assistance in Teleoperation AK Tanwani, S Calinon IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 | 69 | 2017 |
| Imad: in-execution malware analysis and detection SB Mehdi, AK Tanwani, M Farooq Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 63 | 2009 |
| A fog robotic system for dynamic visual servoing N Tian, AK Tanwani, J Chen, M Ma, R Zhang, B Huang, K Goldberg, ... 2019 International Conference on Robotics and Automation (ICRA), 1982-1988, 2019 | 55 | 2019 |
| Motion2vec: Semi-supervised representation learning from surgical videos AK Tanwani, P Sermanet, A Yan, R Anand, M Phielipp, K Goldberg 2020 IEEE International Conference on Robotics and Automation (ICRA), 2174-2181, 2020 | 47 | 2020 |
| Visuospatial foresight for physical sequential fabric manipulation R Hoque, D Seita, A Balakrishna, A Ganapathi, AK Tanwani, N Jamali, ... Autonomous Robots 46 (1), 175-199, 2022 | 43 | 2022 |
| DexROV: Dexterous Undersea Inspection and Maintenance in Presence of Communication Latencies LG J Gancet, D Urbina, P Letier, M Ilzokvitz, P Weiss, F Gauch, G Antonelli ... IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV), 2015 | 37* | 2015 |
| RILaaS: Robot inference and learning as a service AK Tanwani, R Anand, JE Gonzalez, K Goldberg IEEE Robotics and Automation Letters 5 (3), 4423-4430, 2020 | 36 | 2020 |
| Dexterous undersea interventions with far distance onshore supervision: the DexROV project J Gancet, P Weiss, G Antonelli, MF Pfingsthorn, S Calinon, A Turetta, ... IFAC-PapersOnLine 49 (23), 414-419, 2016 | 34 | 2016 |
| Classification potential vs. classification accuracy: a comprehensive study of evolutionary algorithms with biomedical datasets AK Tanwani, M Farooq International Workshop on Learning Classifier Systems, 127-144, 2008 | 33 | 2008 |
| DIRL: Domain-invariant representation learning for sim-to-real transfer A Tanwani Conference on Robot Learning, 1558-1571, 2021 | 30 | 2021 |
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
