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ORCIDDivake Kumar
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2020 – today
- 2026
[c9]Dinithi Jayasuriya, Divake Kumar, Sureshkumar Senthilkumar, Devashri Naik, Nastaran Darabi, Amit Ranjan Trivedi:
CaDRO: Causal-Guided Dimensionality Reduction for Scalable Multi-Objective Pareto Optimization. DATE 2026: 1-7- [c8]Divake Kumar, Amanda Rios, Nilesh A. Ahuja, Omesh Tickoo, Amit Ranjan Trivedi:
Uncertainty-Guided Adaptive Model Hopping for Efficient Object Tracking on Edge Devices. ISQED 2026: 1-8 - [i14]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) - [i13]Patrick Poggi, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi:
Uncertainty-Guided Inference-Time Depth Adaptation for Transformer-Based Visual Tracking. CoRR abs/2602.16160 (2026) - [i12]Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh A. 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) - [i11]Devashri Naik, Divake Kumar, Nastaran Darabi, Amit Ranjan Trivedi:
Belief Dynamics for Detecting Behavioral Shifts in Safe Collaborative Manipulation. CoRR abs/2604.04967 (2026) - [i10]Divake Kumar, Sina Tayebati, Devashri Naik, Ranganath Krishnan, Amit Ranjan Trivedi:
VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation. CoRR abs/2604.25235 (2026) - 2025
- [c7]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 - [c6]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 - [c5]Kali Pada Bhukta, Divake Kumar, Pradip Mandal:
Interconnected Switched-Capacitor Based DC-DC Converters to Enhance Input-to-Output Conversion Range and Driving Capability. PRIME 2025: 1-4 - [c4]Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi:
TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. VLSID 2025: 516-521 - [c3]Amit Ranjan Trivedi, Shamma Nasrin, Priyesh Shukla, Nastaran Darabi, Divake Kumar, Dinithi Jayasuriya, Nethmi Jayasinghe:
MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning. VTS 2025: 1-4 - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]Dinithi Jayasuriya, Divake Kumar, Sureshkumar Senthilkumar, Devashri Naik, Nastaran Darabi, Amit Ranjan Trivedi:
Causal-Guided Dimension Reduction for Efficient Pareto Optimization. CoRR abs/2510.09941 (2025) - [i3]Divake Kumar, Patrick Poggi, Sina Tayebati, Devashri Naik, Nilesh A. Ahuja, Amit Ranjan Trivedi:
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation. CoRR abs/2511.12389 (2025) - 2024
- [c2]Alex Christopher Stutts, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi:
Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability. DAC 2024: 363:1-363:4 - [c1]Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi:
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. DATE 2024: 1-6 - [i2]Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi:
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. CoRR abs/2401.17481 (2024) - [i1]Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi:
TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. CoRR abs/2409.00495 (2024)
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