Theja Tulabandhula
Orcid: 0000-0001-9111-7519
According to our database1,
Theja Tulabandhula
authored at least 73 papers
between 2008 and 2024.
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Bibliography
2024
CURATRON: Complete Robust Preference Data for Robust Alignment of Large Language Models.
CoRR, 2024
CoRR, 2024
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning.
CoRR, 2024
2023
Eur. J. Oper. Res., October, 2023
A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity.
Sensors, February, 2023
User Friendly and Adaptable Discriminative AI: Using the Lessons from the Success of LLMs and Image Generation Models.
CoRR, 2023
Dynamic Tiling: A Model-Agnostic, Adaptive, Scalable, and Inference-Data-Centric Approach for Efficient and Accurate Small Object Detection.
CoRR, 2023
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy.
CoRR, 2023
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge.
CoRR, 2023
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools.
CoRR, 2023
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies.
Proceedings of the IEEE International Conference on Acoustics, 2023
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.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory.
IEEE Trans. Very Large Scale Integr. Syst., 2022
Eur. J. Oper. Res., 2022
IEEE Access, 2022
Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators.
CoRR, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
2020
CoRR, 2020
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration.
CoRR, 2020
CoRR, 2020
MC<sup>2</sup>RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference.
CoRR, 2020
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2020
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2020
2019
Real-Time Hybrid Multi-Sensor Fusion Framework for Perception in Autonomous Vehicles.
Sensors, 2019
Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network.
CoRR, 2019
Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation, 2019
2018
An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions.
CoRR, 2018
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018
Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018
2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
2016
Reinforcement Learning algorithms for regret minimization in structured Markov Decision Processes.
CoRR, 2016
The Costs and Benefits of Ridesharing: Sequential Individual Rationality and Sequential Fairness.
CoRR, 2016
Reinforcement Learning Algorithms for Regret Minimization in Structured Markov Decision Processes: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
2015
Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge.
Mach. Learn., 2015
2014
Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing.
Big Data, 2014
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2014
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2014
2013
2012
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012
2011
Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011
2010
2009
Proceedings of the VLSI Design 2009: Improving Productivity through Higher Abstraction, 2009
2008
Proceedings of the 11th Euromicro Conference on Digital System Design: Architectures, 2008