Arjun S. Nair

According to our database, Arjun S. Nair authored at least 5 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine.

Sonu Kumar, Arjun S. Nair, Bhawna Chaudhary, Mukul Lokhande, Santosh Kumar Vishvakarma

IEEE Trans. Very Large Scale Integr. Syst., June, 2026

Chronicals: A High-Performance Framework for LLM Fine-Tuning with 3.51x Speedup over Unsloth.

Arjun S. Nair

CoRR, January, 2026

2025

ReLACE: A Resource-Efficient Low-Latency Cortical Acceleration Engine.

Sonu Kumar, Arjun S. Nair, Bhawna Chaudhary, Mukul Lokhande, Santosh Kumar Vishvakarma

CoRR, October, 2025

Calibration Meets Reality: Making Machine Learning Predictions Trustworthy.

Kristina P. Sinaga, Arjun S. Nair

CoRR, September, 2025

Disproving the Feasibility of Learned Confidence Calibration Under Binary Supervision: An Information-Theoretic Impossibility.

Arjun S. Nair, Kristina P. Sinaga

CoRR, September, 2025