| Real-time hybrid multi-sensor fusion framework for perception in autonomous vehicles B Shahian Jahromi, T Tulabandhula, S Cetin Sensors 19 (20), 4357, 2019 | 162 | 2019 |
| Machine learning with operational costs T Tulabandhula, C Rudin Association for Computing Machinery (ACM), 2013 | 65 | 2013 |
| On combining machine learning with decision making T Tulabandhula, C Rudin Machine learning 97, 33-64, 2014 | 49* | 2014 |
| Robust optimization using machine learning for uncertainty sets T Tulabandhula, C Rudin Proceedings of the International Symposium on Artificial Intelligence and …, 2014 | 49 | 2014 |
| Tire changes, fresh air, and yellow flags: challenges in predictive analytics for professional racing T Tulabandhula, C Rudin Big data 2 (2), 97-112, 2014 | 49 | 2014 |
| Deep reinforcement learning for crowdsourced urban delivery T Ahamed, B Zou, NP Farazi, T Tulabandhula Transportation Research Part B: Methodological 152, 227-257, 2021 | 39* | 2021 |
| Symmetry learning for function approximation in reinforcement learning A Mahajan, T Tulabandhula International Conference on Autonomous Agents and Multiagent Systems, 2017 | 36 | 2017 |
| System and method for optimal automated booking of on-demand transportation in multi-modal journeys T Tulabandhula, N Annamaneni US Patent 11,562,300, 2023 | 33 | 2023 |
| Multi-purchase behavior: Modeling, estimation, and optimization T Tulabandhula, D Sinha, SR Karra, P Patidar Manufacturing & Service Operations Management 25 (6), 2298-2313, 2023 | 25* | 2023 |
| The costs and benefits of sharing: Sequential individual rationality and sequential fairness R Gopalakrishnan, K Mukherjee, T Tulabandhula arXiv preprint arXiv:1607.07306, 2016 | 23 | 2016 |
| MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference P Shukla, A Shylendra, T Tulabandhula, AR Trivedi 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 22 | 2020 |
| Bayesian reasoning machine on a magneto-tunneling junction network S Nasrin, J Drobitch, P Shukla, T Tulabandhula, S Bandyopadhyay, ... Nanotechnology 31 (48), 484001, 2020 | 22 | 2020 |
| Estimating the Personality of White-Box Language Models SR Karra, ST Nguyen, T Tulabandhula Workshop on Information Technologies and Systems 2022, 2022 | 20 | 2022 |
| Profit optimization in commercial ridesharing A Biswas, R Gopalakrishnan, T Tulabandhula, K Mukherjee, A Metrewar, ... Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 20 | 2017 |
| Ultralow-power localization of insect-scale drones: Interplay of probabilistic filtering and compute-in-memory P Shukla, A Muralidhar, N Iliev, T Tulabandhula, SB Fuller, AR Trivedi IEEE transactions on very large scale integration (VLSI) systems 30 (1), 68-80, 2021 | 16 | 2021 |
| Impact of detour-aware policies on maximizing profit in ridesharing A Biswas, R Gopalakrishnan, T Tulabandhula, A Metrewar, K Mukherjee, ... arXiv preprint arXiv:1706.02682, 2017 | 15 | 2017 |
| A tractable online learning algorithm for the multinomial logit contextual bandit P Agrawal, T Tulabandhula, V Avadhanula European Journal of Operational Research 310 (2), 737-750, 2023 | 14 | 2023 |
| Symmetry detection and exploitation for function approximation in deep rl A Mahajan, T Tulabandhula Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 14 | 2017 |
| A 20MS/s 5.6 mW 6b Asynchronous ADC in 0.6 µm CMOS T Tulabandhula, Y Mitikiri 2009 22nd International Conference on VLSI Design, 111-116, 2009 | 14 | 2009 |
| Optimizing revenue while showing relevant assortments at scale T Tulabandhula, D Sinha, S Karra European Journal of Operational Research 300 (2), 561-570, 2022 | 13 | 2022 |
Amit Ranjan TrivediUniversity of Illinois at Chicago在 uic.edu 的电子邮件经过验证
