Dinithi Jayasuriya

According to our database, Dinithi Jayasuriya authored at least 13 papers between 2024 and 2025.

Collaborative distances:

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

2025

Causal-Guided Dimension Reduction for Efficient Pareto Optimization.

Dinithi Jayasuriya, Divake Kumar, Sureshkumar Senthilkumar, Devashri Naik, Nastaran Darabi, Amit Ranjan Trivedi

CoRR, October, 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

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

MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning.

Amit Ranjan Trivedi, Shamma Nasrin, Priyesh Shukla, Nastaran Darabi, Divake Kumar, Dinithi Jayasuriya, Nethmi Jayasinghe

Proceedings of the 43rd IEEE VLSI Test Symposium, 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

TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products.

Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi

Proceedings of the 38th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems, 2025

Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision.

Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem, Amit Ranjan Trivedi

Proceedings of the IEEE International Symposium on Circuits and Systems, 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

Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through Curriculum Training.

Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi

Proceedings of the IEEE International Conference on Robotics and Automation, 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

2024

Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach.

Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, 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

Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics.

Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024