3 papers
cs.CV2025
Model compression using knowledge distillation with integrated gradients
David E. Hernandez, Jose Chang, Torbjörn E. M. Nordling
Model compression is critical for deploying deep learning models on resource-constrained devices. We introduce a novel method enhancing knowledge distillation with integrated gradi…
cs.LG2025
Knowledge Distillation: Enhancing Neural Network Compression with Integrated Gradients
David E. Hernandez, Jose Ramon Chang, Torbjörn E. M. Nordling
Efficient deployment of deep neural networks on resource-constrained devices demands advanced compression techniques that preserve accuracy and interoperability. This paper propose…
cs.CV2024
Unsupervised Skin Feature Tracking with Deep Neural Networks
Jose Chang, Torbjörn E. M. Nordling
Facial feature tracking is essential in imaging ballistocardiography for accurate heart rate estimation and enables motor degradation quantification in Parkinson's disease through…