Divake Kumar

According to our database, Divake Kumar authored at least 17 papers between 2024 and 2026.

Collaborative distances:

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

2026

Belief Dynamics for Detecting Behavioral Shifts in Safe Collaborative Manipulation.

Devashri Naik, Divake Kumar, Nastaran Darabi, Amit Ranjan Trivedi

CoRR, April, 2026

TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception - Don't Treat All Uncertainty the Same.

Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh Ahuja, Amit Ranjan Trivedi

CoRR, March, 2026

Uncertainty-Guided Inference-Time Depth Adaptation for Transformer-Based Visual Tracking.

Patrick Poggi, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi

CoRR, February, 2026

TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning.

Sina Tayebati, Divake Kumar, Nastaran Darabi, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, February, 2026

2025

Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation.

Divake Kumar, Patrick Poggi, Sina Tayebati, Devashri Naik, Nilesh Ahuja, Amit Ranjan Trivedi

CoRR, November, 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

Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception.

Divake Kumar, Sina Tayebati, Francesco Migliarba, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, September, 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

Interconnected Switched-Capacitor Based DC-DC Converters to Enhance Input-to-Output Conversion Range and Driving Capability.

Kali Pada Bhukta, Divake Kumar, Pradip Mandal

Proceedings of the 20th International Conference on PhD Research in Microelectronics and Electronics, 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

Uncertainty-Aware LiDAR-Camera Autonomy via Conformal Prediction and Principled Abstention.

Divake Kumar, Sina Tayebati, Nastaran Darabi, Vita Pi-Ho Hu, Amit Ranjan Trivedi

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 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