Theja Tulabandhula

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Amit Ranjan TrivediUniversity of Illinois at ChicagoVerified email at uic.edu
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Koyel MukherjeeAdobe ResearchVerified email at adobe.com
Saketh Reddy KarraUniversity of IllinoisVerified email at uic.edu
Priyesh ShuklaSamsung Research | University of IllinoisVerified email at samsung.com
Deeksha SinhaMassachusetts Institute of TechnologyVerified email at mit.edu
Shamma NasrinUniversity of Illinois at ChicagoVerified email at uic.edu
Raga GopalakrishnanAssistant Professor of Operations Management, Smith School of Business, Queen's UniversityVerified email at queensu.ca
Ahish ShylendraMaxLinearVerified email at maxlinear.com
Asmita MetrewarIIIT HyderabadVerified email at alumni.iiit.ac.in
Bo ZouUniversity of Illinois ChicagoVerified email at uic.edu
Nahid Parvez FaraziPhD, University of Illinois at ChicagoVerified email at united.com
Nastaran DarabiUniversity of Illinois at ChicagoVerified email at uic.edu
Babak Shahian Jahromi, PhDUniversity of Illinois, Sharif University of TechnologyVerified email at uic.edu
Alex Christopher StuttsUniversity of Illinois ChicagoVerified email at uic.edu
Priyank AgrawalColumbia UniversityVerified email at columbia.edu
Olusola (Olu) AjiloreProfessor, Department of Psychiatry, College of Medicine, University of IllinoisVerified email at uic.edu
Prasoon PatidarGraduate Research Assistant, Carnegie Mellon UniversityVerified email at cmu.edu
Anuj MahajanAppleVerified email at cs.ox.ac.uk
Tanvir Ahamed, PhDAssociate Manager - Supply Chain AnalyticsVerified email at uic.edu

Theja Tulabandhula

University of Illinois Chicago

Verified email at alum.mit.edu - Homepage

Artificial Intelligence Machine Learning Operations Research


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Real-time hybrid multi-sensor fusion framework for perception in autonomous vehicles B Shahian Jahromi, T Tulabandhula, S Cetin Sensors 19 (20), 4357, 2019	180	2019
Machine learning with operational costs T Tulabandhula, C Rudin Association for Computing Machinery (ACM), 2013	66	2013
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	54	2014
Robust optimization using machine learning for uncertainty sets T Tulabandhula, C Rudin Proceedings of the International Symposium on Artificial Intelligence and …, 2014	52	2014
On combining machine learning with decision making T Tulabandhula, C Rudin Machine learning 97, 33-64, 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	45*	2021
Symmetry learning for function approximation in reinforcement learning A Mahajan, T Tulabandhula International Conference on Autonomous Agents and Multiagent Systems, 2017	38	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	37	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	29*	2023
Estimating the Personality of White-Box Language Models SR Karra, ST Nguyen, T Tulabandhula Workshop on Information Technologies and Systems 2022, 2022	27	2022
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	24	2020
The costs and benefits of sharing: Sequential individual rationality and sequential fairness R Gopalakrishnan, K Mukherjee, T Tulabandhula arXiv preprint arXiv:1607.07306, 2016	24	2016
Bayesian reasoning machine on a magneto-tunneling junction network S Nasrin, J Drobitch, P Shukla, T Tulabandhula, S Bandyopadhyay, ... Nanotechnology 31 (48), 484001, 2020	23	2020
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	19	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	16	2017
Optimizing revenue while showing relevant assortments at scale T Tulabandhula, D Sinha, S Karra European Journal of Operational Research 300 (2), 561-570, 2022	15	2022
KATRec: Knowledge aware attentive sequential recommendations M Amjadi, SD Mohseni Taheri, T Tulabandhula Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021	15	2021
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

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