Divake Kumar

According to our database, Divake Kumar authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

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

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

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

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

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

Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability.

Alex Christopher Stutts, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024