Sina Tayebati

According to our database, Sina Tayebati authored at least 21 papers between 2023 and 2026.

Collaborative distances:

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

2026

VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation.

Divake Kumar, Sina Tayebati, Devashri Naik, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, April, 2026

TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception - Don't Treat All Uncertainty the Same.

Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh A. Ahuja, Amit Ranjan Trivedi

CoRR, March, 2026

TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning.

Sina Tayebati, Divake Kumar, Nastaran Darabi, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, February, 2026

Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EigenShield: Inference-Time, Model-Agnostic Jailbreaking Defense via Causal Subspace Filtering.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation.

Divake Kumar, Patrick Poggi, Sina Tayebati, Devashri Naik, Nilesh A. Ahuja, Amit Ranjan Trivedi

CoRR, November, 2025

Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception.

Divake Kumar, Sina Tayebati, Francesco Migliarba, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, September, 2025

EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs.

Davide Ettori, Nastaran Darabi, Sina Tayebati, Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo, Amit Ranjan Trivedi

CoRR, September, 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

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

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

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

Proceedings of the International Joint Conference on Neural Networks, 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