This repository contains the implementation for the AISTATS 2025 paper "Do Regularization Methods for Shortcut Mitigation Work As Intended?". The project investigates the performance of different ...

@inproceedings{liu2025imageflownet, title={ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images}, author={Liu, Chen ...

Abstract: Structured regularization allows machine learning models to consider spatial relationships among parameters, leading to results that generalize better and are more interpretable compared to ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: Neural networks have become deeper in recent years and this has improved its capacity to handle more complex tasks. However, deep neural network has more parameters and is easier to overfit, ...

Spatiotemporal Variability, Geospatial Analysis, Sustainable Development Goals (SDGs) Share and Cite: Hart, L. , Garuba, L. , ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...