Dinithi Jayasuriya

20 papers A* 3A 2B 2C 1Misc 3Journal 9

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
2025	J	`jnl`	Causal-Guided Dimension Reduction for Efficient Pareto Optimization. CoRR Dinithi Jayasuriya, Divake Kumar, Sureshkumar Senthilkumar, Devashri Naik, Nastaran Darabi, 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	A*	`conf`	Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through Curriculum Training. ICRA Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, 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	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`	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	Misc	`conf`	MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning. VTS Amit Ranjan Trivedi, Shamma Nasrin, Priyesh Shukla, Nastaran Darabi, Divake Kumar, Dinithi Jayasuriya, Nethmi Jayasinghe
2025	C	`conf`	Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. ISCAS Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem, 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	Misc	`conf`	TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. VLSID Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi
2024	J	`jnl`	Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach. CoRR Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi
2024	A	`conf`	Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. DATE Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
2024	J	`jnl`	Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. CoRR Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
2024	J	`jnl`	Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. CoRR Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem, 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`	TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. CoRR Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi