Sina Tayebati

According to our database, Sina Tayebati authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models.

Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, February, 2025

Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception.

Divake Kumar, Nastaran Darabi, Sina Tayebati, Amit Ranjan Trivedi

CoRR, February, 2025

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models.

Sina Tayebati, Divake Kumar, Nastaran Darabi, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, February, 2025

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs.

Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, February, 2025

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy.

Nastaran Darabi, Divake Kumar, Sina Tayebati, Amit Ranjan Trivedi

CoRR, February, 2025

From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery.

Devashri Naik, Nastaran Darabi, Sina Tayebati, Dinithi Jayasuriya, Shamma Nasrin, Danush Shekar, Corrinne Mills, Benjamin Parpillon, Farah Fahim, Mark S. Neubauer, Amit Ranjan Trivedi

Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

Generative Sensing: Pre-training LiDAR with Masked Autoencoders for Ultra-Frugal Perception.

Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges.

Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Uncertainty-Aware LiDAR-Camera Autonomy via Conformal Prediction and Principled Abstention.

Divake Kumar, Sina Tayebati, Nastaran Darabi, Vita Pi-Ho Hu, Amit Ranjan Trivedi

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025

2024

Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing.

Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi

CoRR, 2024

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

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy.

Nastaran Darabi, Sina Tayebati, Sureshkumar S., Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi

CoRR, 2023

A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing.

Sina Tayebati, Kyu Taek Cho

CoRR, 2023