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ORCIDAmit Ranjan Trivedi
- > Home > Persons > Amit Ranjan Trivedi
Publications
- 2026
[c53]Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi:
EigenShield: Inference-Time, Model-Agnostic Jailbreaking Defense via Causal Subspace Filtering. AAAI 2026: 3524-3532- [c52]Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Amit Ranjan Trivedi:
Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection. AAAI 2026: 37332-37340 - [i40]Sina Tayebati, Divake Kumar, Nastaran Darabi, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi:
TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning. CoRR abs/2602.11409 (2026) - [i37]Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh Ahuja, Amit Ranjan Trivedi:
TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception - Don't Treat All Uncertainty the Same. CoRR abs/2603.08128 (2026) - 2025
- [c51]Divake Kumar
, Sina Tayebati, Nastaran Darabi, Vita Pi-Ho Hu, Amit Ranjan Trivedi:
Uncertainty-Aware LiDAR-Camera Autonomy via Conformal Prediction and Principled Abstention. COINS 2025: 1-6 - [c50]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:
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. DATE 2025: 1-10 - [c49]Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi:
Generative Sensing: Pre-training LiDAR with Masked Autoencoders for Ultra-Frugal Perception. ICASSP 2025: 1-5 - [c45]Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi:
SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. IJCNN 2025: 1-7 - [c41]Devashri Naik, Nastaran Darabi, Sina Tayebati, Dinithi Jayasuriya, Shamma Nasrin, Danush Shekar, Corrinne Mills, Benjamin Parpillon, Farah Fahim, Mark S. Neubauer, Amit Ranjan Trivedi:
From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery. VTS 2025: 1-4 - [i36]Nastaran Darabi, Divake Kumar, Sina Tayebati, Amit Ranjan Trivedi:
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy. CoRR abs/2502.01896 (2025) - [i35]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:
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. CoRR abs/2502.02692 (2025) - [i34]Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi:
SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. CoRR abs/2502.02909 (2025) - [i33]Sina Tayebati, Divake Kumar, Nastaran Darabi, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi:
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models. CoRR abs/2502.06884 (2025) - [i32]Divake Kumar, Nastaran Darabi, Sina Tayebati, Amit Ranjan Trivedi:
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception. CoRR abs/2502.07255 (2025) - [i31]Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi:
EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models. CoRR abs/2502.14976 (2025) - [i28]Davide Ettori, Nastaran Darabi, Sina Tayebati, Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo, Amit Ranjan Trivedi:
EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs. CoRR abs/2509.15735 (2025) - [i27]Divake Kumar, Sina Tayebati, Francesco Migliarba, Ranganath Krishnan, Amit Ranjan Trivedi:
Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception. CoRR abs/2509.21955 (2025) - [i25]Divake Kumar, Patrick Poggi, Sina Tayebati, Devashri Naik, Nilesh Ahuja, Amit Ranjan Trivedi:
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation. CoRR abs/2511.12389 (2025) - 2024
- [c35]Nastaran Darabi, Sina Tayebati, Sureshkumar Senthilkumar, Dinithi Jayasuriya, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy. IJCNN 2024: 1-8 - [i22]Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi:
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing. CoRR abs/2406.07833 (2024) - 2023
- [i12]Nastaran Darabi, Sina Tayebati, Sureshkumar S., Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy. CoRR abs/2309.11006 (2023)
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