Sina Tayebati - RankMe

22 papers A* 2A 1B 2Misc 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	EigenShield: Inference-Time, Model-Agnostic Jailbreaking Defense via Causal Subspace Filtering. AAAI Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi
2026	A*	`conf`	Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection. AAAI Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Amit Ranjan Trivedi
2026	J	`jnl`	TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning. CoRR Sina Tayebati, Divake Kumar, Nastaran Darabi, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi
2026	J	`jnl`	TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception - Don't Treat All Uncertainty the Same. CoRR Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh Ahuja, Amit Ranjan Trivedi
2025	J	`jnl`	Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception. CoRR Divake Kumar, Nastaran Darabi, Sina Tayebati, Amit Ranjan Trivedi
2025	J	`jnl`	Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation. CoRR Divake Kumar, Patrick Poggi, Sina Tayebati, Devashri Naik, Nilesh Ahuja, Amit Ranjan Trivedi
2025	J	`jnl`	EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models. CoRR Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi
2025	J	`jnl`	EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs. CoRR Davide Ettori, Nastaran Darabi, Sina Tayebati, Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo, Amit Ranjan Trivedi
2025	Misc	`conf`	From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery. VTS Devashri Naik, Nastaran Darabi, Sina Tayebati, Dinithi Jayasuriya, Shamma Nasrin, Danush Shekar, Corrinne Mills, Benjamin Parpillon, Farah Fahim, Mark S. Neubauer, 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`	INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy. CoRR Nastaran Darabi, Divake Kumar, Sina Tayebati, Amit Ranjan Trivedi
2025	A	`conf`	Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. DATE 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
2025	J	`jnl`	Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. CoRR 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
2025	J	`jnl`	Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception. CoRR Divake Kumar, Sina Tayebati, Francesco Migliarba, Ranganath Krishnan, Amit Ranjan Trivedi
2025	J	`jnl`	Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models. CoRR Sina Tayebati, Divake Kumar, Nastaran Darabi, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi
2025	B	`conf`	SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. IJCNN Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi
2025	J	`jnl`	SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. CoRR Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi
2025	—	`conf`	Uncertainty-Aware LiDAR-Camera Autonomy via Conformal Prediction and Principled Abstention. COINS Divake Kumar, Sina Tayebati, Nastaran Darabi, Vita Pi-Ho Hu, 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 hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing. CoRR Sina Tayebati, Kyu Taek Cho
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