| 2025 | ICASSP | Generative Sensing: Pre-training LiDAR with Masked Autoencoders for Ultra-Frugal Perception. | Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2025 | ICRA | Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through Curriculum Training. | Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2025 | ICRA | Uncertainty-Aware Deep Reinforcement Learning with Calibrated Quantile Regression and Evidential Learning. | Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Mohit Mittal, Amit Ranjan Trivedi |
| 2024 | DAC | Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability. | Alex Christopher Stutts, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2024 | ICASSP | Conformalized Multimodal Uncertainty Regression and Reasoning. | Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2024 | IJCNN | STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy. | Nastaran Darabi, Sina Tayebati, Sureshkumar Senthilkumar, Dinithi Jayasuriya, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2024 | ICRA | Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. | Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2024 | PAKDD | InteraRec: Interactive Recommendations Using Multimodal Large Language Models. | Saketh Reddy Karra, Theja Tulabandhula |
| 2023 | CHI | 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. | 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 | ICASSP | Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. | Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2023 | IROS | Lightweight, Uncertainty-Aware Conformalized Visual Odometry. | Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2022 | MICCAI | Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. | Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula |
| 2021 | DIS | KATRec: Knowledge Aware aTtentive Sequential Recommendations. | Mehrnaz Amjadi, Seyed Danial Mohseni Taheri, Theja Tulabandhula |
| 2020 | EUMAS | Incentivising Exploration and Recommendations for Contextual Bandits with Payments. | Priyank Agrawal, Theja Tulabandhula |
| 2020 | ISAIM | Making Recommendations when Users Experience Fatigue. | Theja Tulabandhula, Yunjuan Wang |
| 2020 | ISCAS | Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network. | Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2020 | ISCAS | MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. | Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2020 | WWW | Recommendations under Multi-Product Purchase Behavior. | Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar |
| 2020 | UAI | Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect. | Priyank Agrawal, Theja Tulabandhula |
| 2018 | IJCAI | Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. | Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj |
| 2018 | ISAIM | Learning Buyer Behavior under Realistic Pricing Restrictions. | Debjyoti Saharoy, Theja Tulabandhula |
| 2017 | UAI | Provable Inductive Robust PCA via Iterative Hard Thresholding. | U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula |
| 2014 | ISAIM | Generalization Bounds for Learning with Linear and Quadratic Side Knowledge. | Theja Tulabandhula, Cynthia Rudin |
| 2014 | ISAIM | Robust Optimization using Machine Learning for Uncertainty Sets. | Theja Tulabandhula, Cynthia Rudin |
| 2012 | ISAIM | The Influence of Operational Cost on Estimation. | Cynthia Rudin, Theja Tulabandhula |
| 2009 | VLSID | A 20MS/s 5.6 mW 6b Asynchronous ADC in 0.6m CMOS. | Theja Tulabandhula, Yujendra Mitikiri |
| 2008 | DSD | Design of a Two Dimensional PRSI Image Processor. | Theja Tulabandhula, Amit Patra, Nirmal B. Chakrabarti |