Theja Tulabandhula

98 papers A* 5A 8B 2C 3Misc 9Journal 63Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Uncertainty-Guided Inference-Time Depth Adaptation for Transformer-Based Visual Tracking. CoRR Patrick Poggi, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi
2025	J	`jnl`	An application of deep choice modeling for engagement maximization on Twitter/X. J. Intell. Inf. Syst. Saketh Reddy Karra, Theja Tulabandhula
2025	A*	`conf`	Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through Curriculum Training. ICRA Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi
2025	Misc	`conf`	Generative Sensing: Pre-training LiDAR with Masked Autoencoders for Ultra-Frugal Perception. ICASSP Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi
2025	J	`jnl`	MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models. CoRR Son The Nguyen, Theja Tulabandhula
2025	J	`jnl`	Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database. CoRR Jeff J. H. Kim, George R. Nahass, Yang Dai, Theja Tulabandhula
2025	A*	`conf`	Uncertainty-Aware Deep Reinforcement Learning with Calibrated Quantile Regression and Evidential Learning. ICRA Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Mohit Mittal, Amit Ranjan Trivedi
2024	J	`jnl`	CURATRON: Complete Robust Preference Data for Robust Alignment of Large Language Models. CoRR Son The Nguyen, Uma-Naresh Niranjan, Theja Tulabandhula
2024	Misc	`conf`	Conformalized Multimodal Uncertainty Regression and Reasoning. ICASSP Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi
2024	J	`jnl`	Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning. CoRR Alex Christopher Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
2024	J	`jnl`	Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach. CoRR Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi
2024	—	`conf`	InteraRec: Interactive Recommendations Using Multimodal Large Language Models. PAKDD (Workshops) Saketh Reddy Karra, Theja Tulabandhula
2024	J	`jnl`	InteraRec: Interactive Recommendations Using Multimodal Large Language Models. CoRR Saketh Reddy Karra, Theja Tulabandhula
2024	A*	`conf`	Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability. DAC Alex Christopher Stutts, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi
2024	A*	`conf`	Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. ICRA Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2024	B	`conf`	STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy. IJCNN Nastaran Darabi, Sina Tayebati, Sureshkumar Senthilkumar, Dinithi Jayasuriya, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2024	J	`jnl`	Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing. CoRR Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity. Sensors Mindy K. Ross, Theja Tulabandhula, Casey C. Bennett, Eu-Gene Baek, Dohyeon Kim, Faraz Hussain, Alexander P. Demos, Emma Ning, Scott A. Langenecker, Olusola Ajilore, Alex D. Leow
2023	J	`jnl`	A tractable online learning algorithm for the multinomial logit contextual bandit. Eur. J. Oper. Res. Priyank Agrawal, Theja Tulabandhula, Vashist Avadhanula
2023	J	`jnl`	Conformalized Multimodal Uncertainty Regression and Reasoning. CoRR Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	Dynamic Tiling: A Model-Agnostic, Adaptive, Scalable, and Inference-Data-Centric Approach for Efficient and Accurate Small Object Detection. CoRR Son The Nguyen, Theja Tulabandhula, Duy Nguyen
2023	J	`jnl`	Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools. CoRR Son The Nguyen, Theja Tulabandhula
2023	J	`jnl`	InteraSSort: Interactive Assortment Planning Using Large Language Models. CoRR Saketh Reddy Karra, Theja Tulabandhula
2023	A	`conf`	Lightweight, Uncertainty-Aware Conformalized Visual Odometry. IROS Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	Lightweight, Uncertainty-Aware Conformalized Visual Odometry. CoRR Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. CoRR Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2023	Misc	`conf`	Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. ICASSP Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2023	J	`jnl`	STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy. CoRR Nastaran Darabi, Sina Tayebati, Sureshkumar S., Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2023	A*	`conf`	Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health: Smartphone Keyboard and Accelerometer as Window into Brain Health. CHI Emma Ning, Andrea T. Cladek, Mindy K. Ross, Sarah Kabir, Amruta Barve, Ellyn Kennelly, Faraz Hussain, Jennifer Duffecy, Scott L. Langenecker, Theresa Nguyen, Theja Tulabandhula, John Zulueta, Olusola Ajilore, Alexander P. Demos, Alex D. Leow
2023	J	`jnl`	User Friendly and Adaptable Discriminative AI: Using the Lessons from the Success of LLMs and Image Generation Models. CoRR Son The Nguyen, Theja Tulabandhula, Mary Beth Watson-Manheim
2022	J	`jnl`	AI Personification: Estimating the Personality of Language Models. CoRR Saketh Reddy Karra, Son Nguyen, Theja Tulabandhula
2022	J	`jnl`	ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. IEEE Access Shamma Nasrin, Ahish Shylendra, Nastaran Darabi, Theja Tulabandhula, Wilfred Gomes, Ankush Chakrabarty, Amit Ranjan Trivedi
2022	J	`jnl`	Optimizing revenue while showing relevant assortments at scale. Eur. J. Oper. Res. Theja Tulabandhula, Deeksha Sinha, Saketh Reddy Karra
2022	J	`jnl`	Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. CoRR Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2022	J	`jnl`	Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory. IEEE Trans. Very Large Scale Integr. Syst. Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, Amit Ranjan Trivedi
2022	—	`conf`	Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. MICCAI (1) Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula
2022	J	`jnl`	Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. CoRR Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula
2021	J	`jnl`	Choice-Aware User Engagement Modeling andOptimization on Social Media. CoRR Saketh Reddy Karra, Theja Tulabandhula
2021	J	`jnl`	ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. CoRR Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi
2021	B	`conf`	KATRec: Knowledge Aware aTtentive Sequential Recommendations. DS Mehrnaz Amjadi, Seyed Danial Mohseni Taheri, Theja Tulabandhula
2020	J	`jnl`	Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration. CoRR Tanvir Ahamed, Bo Zou, Nahid Parvez Farazi, Theja Tulabandhula
2020	J	`jnl`	Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit. CoRR Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula
2020	—	`conf`	Incentivising Exploration and Recommendations for Contextual Bandits with Payments. EUMAS/AT Priyank Agrawal, Theja Tulabandhula
2020	J	`jnl`	Incentivising Exploration and Recommendations for Contextual Bandits with Payments. CoRR Priyank Agrawal, Theja Tulabandhula
2020	J	`jnl`	KATRec: Knowledge Aware aTtentive Sequential Recommendations. CoRR Mehrnaz Amjadi, Danial Mohseni-Taheri, Theja Tulabandhula
2020	A	`conf`	Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect. UAI Priyank Agrawal, Theja Tulabandhula
2020	J	`jnl`	Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect. CoRR Priyank Agrawal, Theja Tulabandhula
2020	J	`jnl`	MC CoRR Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
2020	C	`conf`	MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. ISCAS Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
2020	Misc	`conf`	Making Recommendations when Users Experience Fatigue. ISAIM Theja Tulabandhula, Yunjuan Wang
2020	J	`jnl`	Multi-Purchase Behavior: Modeling and Optimization. CoRR Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar
2020	J	`jnl`	Off-Policy Optimization of Portfolio Allocation Policies under Constraints. CoRR Nymisha Bandi, Theja Tulabandhula
2020	J	`jnl`	Optimizing Revenue while showing Relevant Assortments at Scale. CoRR Theja Tulabandhula, Deeksha Sinha
2020	—	`conf`	Recommendations under Multi-Product Purchase Behavior. WWW (Companion Volume) Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar
2020	C	`conf`	Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network. ISCAS Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi
2019	—	`conf`	Managing adoption under network effects. NetEcon@SIGMETRICS Mehrnaz Amjadi, Vijay Kamble, Theja Tulabandhula
2019	J	`jnl`	Real-Time Hybrid Multi-Sensor Fusion Framework for Perception in Autonomous Vehicles. Sensors Babak Shahian Jahromi, Theja Tulabandhula, Sabri Cetin
2019	J	`jnl`	Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. CoRR Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi
2019	J	`jnl`	Thompson Sampling for a Fatigue-aware Online Recommendation System. CoRR Yunjuan Wang, Theja Tulabandhula
2018	J	`jnl`	An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions. CoRR Debjyoti Saharoy, Theja Tulabandhula
2018	J	`jnl`	Bandits with Temporal Stochastic Constraints. CoRR Priyank Agrawal, Theja Tulabandhula
2018	J	`jnl`	Block-Structure Based Time-Series Models For Graph Sequences. CoRR Mehrnaz Amjadi, Theja Tulabandhula
2018	—	`conf`	Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. ATT@IJCAI Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj
2018	Misc	`conf`	Learning Buyer Behavior under Realistic Pricing Restrictions. ISAIM Debjyoti Saharoy, Theja Tulabandhula
2017	J	`jnl`	Efficient Reinforcement Learning via Initial Pure Exploration. CoRR Sudeep Raja Putta, Theja Tulabandhula
2017	J	`jnl`	Faster Reinforcement Learning Using Active Simulators. CoRR Vikas Jain, Theja Tulabandhula
2017	J	`jnl`	Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. CoRR Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj
2017	J	`jnl`	Interactions between learning and decision making. AI Matters Theja Tulabandhula
2017	A	`conf`	Learning to Partition using Score Based Compatibilities. AAMAS Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
2017	J	`jnl`	Learning to Partition using Score Based Compatibilities. CoRR Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
2017	J	`jnl`	Optimizing Revenue over Data-driven Assortments. CoRR Deeksha Sinha, Theja Tulabandhula
2017	J	`jnl`	Privacy-preserving Targeted Advertising. CoRR Theja Tulabandhula, Shailesh Vaya, Aritra Dhar
2017	A	`conf`	Profit Optimization in Commercial Ridesharing. AAMAS Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Koyel Mukherjee, Asmita Metrewar, Thangaraj Rajasubramaniam
2017	A	`conf`	Provable Inductive Robust PCA via Iterative Hard Thresholding. UAI U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula
2017	J	`jnl`	Provable Inductive Robust PCA via Iterative Hard Thresholding. CoRR U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula
2017	A	`conf`	Pure Exploration in Episodic Fixed-Horizon Markov Decision Processes. AAMAS Sudeep Raja Putta, Theja Tulabandhula
2017	A	`conf`	Symmetry Detection and Exploitation for Function Approximation in Deep RL. AAMAS Anuj Mahajan, Theja Tulabandhula
2017	J	`jnl`	Symmetry Learning for Function Approximation in Reinforcement Learning. CoRR Anuj Mahajan, Theja Tulabandhula
2016	J	`jnl`	Learning Personalized Optimal Control for Repeatedly Operated Systems. CoRR Theja Tulabandhula
2016	A	`conf`	Reinforcement Learning Algorithms for Regret Minimization in Structured Markov Decision Processes: (Extended Abstract). AAMAS Prabuchandran K. J., Tejas Bodas, Theja Tulabandhula
2016	J	`jnl`	Reinforcement Learning algorithms for regret minimization in structured Markov Decision Processes. CoRR Prabuchandran K. J., Tejas Bodas, Theja Tulabandhula
2016	J	`jnl`	The Costs and Benefits of Ridesharing: Sequential Individual Rationality and Sequential Fairness. CoRR Ragavendran Gopalakrishnan, Koyel Mukherjee, Theja Tulabandhula
2015	J	`jnl`	Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge. Mach. Learn. Theja Tulabandhula, Cynthia Rudin
2014	Misc	`conf`	Generalization Bounds for Learning with Linear and Quadratic Side Knowledge. ISAIM Theja Tulabandhula, Cynthia Rudin
2014	J	`jnl`	Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge. CoRR Theja Tulabandhula, Cynthia Rudin
2014	—	`—`	Interactions between learning and decision making. Theja Tulabandhula
2014	J	`jnl`	On combining machine learning with decision making. Mach. Learn. Theja Tulabandhula, Cynthia Rudin
2014	Misc	`conf`	Robust Optimization using Machine Learning for Uncertainty Sets. ISAIM Theja Tulabandhula, Cynthia Rudin
2014	J	`jnl`	Robust Optimization using Machine Learning for Uncertainty Sets. CoRR Theja Tulabandhula, Cynthia Rudin
2014	J	`jnl`	Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing. Big Data Theja Tulabandhula, Cynthia Rudin
2013	J	`jnl`	Machine learning with operational costs. J. Mach. Learn. Res. Theja Tulabandhula, Cynthia Rudin
2012	Misc	`conf`	The Influence of Operational Cost on Estimation. ISAIM Cynthia Rudin, Theja Tulabandhula
2011	J	`jnl`	Machine Learning and the Traveling Repairman CoRR Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet
2011	J	`jnl`	Machine Learning with Operational Costs CoRR Theja Tulabandhula, Cynthia Rudin
2011	—	`conf`	The Machine Learning and Traveling Repairman Problem. ADT Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet
2010	J	`jnl`	Some Architectures for Chebyshev Interpolation CoRR Theja Tulabandhula
2009	Misc	`conf`	A 20MS/s 5.6 mW 6b Asynchronous ADC in 0.6µm CMOS. VLSI Design Theja Tulabandhula, Yujendra Mitikiri
2008	C	`conf`	Design of a Two Dimensional PRSI Image Processor. DSD Theja Tulabandhula, Amit Patra, Nirmal B. Chakrabarti