| Deep neural network inverse design of integrated photonic power splitters MH Tahersima, K Kojima, T Koike-Akino, D Jha, B Wang, C Lin, ... Scientific reports 9 (1), 1368, 2019 | 324 | 2019 |
| Tactile-rl for insertion: Generalization to objects of unknown geometry S Dong, DK Jha, D Romeres, S Kim, D Nikovski, A Rodriguez 2021 IEEE International Conference on Robotics and Automation (ICRA), 6437-6443, 2021 | 75 | 2021 |
| Information fusion of passive sensors for detection of moving targets in dynamic environments Y Li, DK Jha, A Ray, TA Wettergren IEEE transactions on cybernetics 47 (1), 93-104, 2016 | 60 | 2016 |
| Sim-to-real transfer learning using robustified controllers in robotic tasks involving complex dynamics J Van Baar, A Sullivan, R Cordorel, D Jha, D Romeres, D Nikovski 2019 International Conference on Robotics and Automation (ICRA), 6001-6007, 2019 | 54 | 2019 |
| Generative deep learning model for inverse design of integrated nanophotonic devices Y Tang, K Kojima, T Koike‐Akino, Y Wang, P Wu, Y Xie, MH Tahersima, ... Laser & Photonics Reviews 14 (12), 2000287, 2020 | 52 | 2020 |
| Can increasing input dimensionality improve deep reinforcement learning? K Ota, T Oiki, D Jha, T Mariyama, D Nikovski International conference on machine learning, 7424-7433, 2020 | 38 | 2020 |
| Training larger networks for deep reinforcement learning K Ota, DK Jha, A Kanezaki arXiv preprint arXiv:2102.07920, 2021 | 31 | 2021 |
| Trajectory optimization for unknown constrained systems using reinforcement learning K Ota, DK Jha, T Oiki, M Miura, T Nammoto, D Nikovski, T Mariyama 2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019 | 30 | 2019 |
| Semiparametrical gaussian processes learning of forward dynamical models for navigating in a circular maze D Romeres, DK Jha, A DallaLibera, B Yerazunis, D Nikovski 2019 International Conference on Robotics and Automation (ICRA), 3195-3202, 2019 | 30 | 2019 |
| Deep neural networks for inverse design of nanophotonic devices K Kojima, MH Tahersima, T Koike-Akino, DK Jha, Y Tang, Y Wang, ... Journal of Lightwave Technology 39 (4), 1010-1019, 2021 | 27 | 2021 |
| A two-stage RRT path planner for automated parking Y Wang, DK Jha, Y Akemi 2017 13th IEEE conference on automation science and engineering (CASE), 496-502, 2017 | 26 | 2017 |
| Efficient exploration in constrained environments with goal-oriented reference path K Ota, Y Sasaki, DK Jha, Y Yoshiyasu, A Kanezaki 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 25 | 2020 |
| Symbolic analysis-based reduced order Markov modeling of time series data DK Jha, N Virani, J Reimann, A Srivastav, A Ray Signal Processing 149, 68-81, 2018 | 23 | 2018 |
| Trajectory optimization for manipulation of deformable objects: Assembly of belt drive units S Jin, D Romeres, A Ragunathan, DK Jha, M Tomizuka 2021 IEEE International Conference on Robotics and Automation (ICRA), 10002 …, 2021 | 22 | 2021 |
| Vehicle automated parking system and method Y Wang, D Jha US Patent 9,969,386, 2018 | 22 | 2018 |
| Safe approximate dynamic programming via kernelized lipschitz estimation A Chakrabarty, DK Jha, GT Buzzard, Y Wang, KG Vamvoudakis IEEE transactions on neural networks and learning systems 32 (1), 405-419, 2020 | 21 | 2020 |
| Generative deep learning model for a multi-level nano-optic broadband power splitter Y Tang, K Kojima, T Koike-Akino, Y Wang, P Wu, M Tahersima, D Jha, ... Optical Fiber Communication Conference, Th1A. 1, 2020 | 20 | 2020 |
| Path planning in GPS-denied environments via collective intelligence of distributed sensor networks DK Jha, P Chattopadhyay, S Sarkar, A Ray International Journal of Control 89 (5), 984-999, 2016 | 20 | 2016 |
| Data-efficient learning for complex and real-time physical problem solving using augmented simulation K Ota, DK Jha, D Romeres, J van Baar, KA Smith, T Semitsu, T Oiki, ... IEEE Robotics and Automation Letters 6 (2), 4241-4248, 2021 | 19* | 2021 |
| Feature level sensor fusion for target detection in dynamic environments Y Li, DK Jha, A Ray, TA Wettergren 2015 American Control Conference (ACC), 2433-2438, 2015 | 19 | 2015 |
Diego RomeresPrincipal Research Scientist & Team Leader at Mitsubishi Electric Research LaboratoriesVerified email at merl.com
