3 papers
eess.SP2026
Distance-Aware Error for Spline Networks: A Bottom-Up Approach to Uncertainty
Masoud Ataei, Mohammad Javad Khojasteh, Vikas Dhiman
We develop a new class of distance-aware error bounds that tightly characterize the approximation error of spline neural networks. Our bottom-up approach analyzes the error bound o…
cs.LG2025
Worst-Case Distance-Aware Error Bounds for Neural Networks
Masoud Ataei, Vikas Dhiman, Mohammad Javad Khojasteh
Safety-critical applications of machine learning require uncertainty estimates that support reliable worst-case analysis. Neural networks (NNs) provide expressive function approxim…
cs.CV2025
Weather-Aware Object Detection Transformer for Domain Adaptation
Soheil Gharatappeh, Salimeh Sekeh, Vikas Dhiman
RT-DETRs have shown strong performance across various computer vision tasks but are known to degrade under challenging weather conditions such as fog. In this work, we investigate…