papers

Publications (6)

cs.SI2020

International students' loneliness, depression and stress levels in COVID-19 crisis. The role of social media and the host university

Nikolaos Misirlis, Miriam H. Zwaan, David Weber

The move to university life is characterized by strong emotions, some of them negative, such as loneliness, anxiety, and depression. These negative emotions are strengthened due to…

math.AP2017

Existence and non-existence of transition fronts in mixed ignition-monostable media

Cole Graham, Tau Shean Lim, Andrew Ma +1

We study transition fronts for one-dimensional reaction-diffusion equations with compactly perturbed ignition-monostable reactions. We establish an almost sharp condition on reacti…

cs.LG2019

The Oracle of DLphi

Dominik Alfke, Weston Baines, Jan Blechschmidt +24

We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. Having access to a sufficiently large amount of l…

cs.LG2025

Explainable and Class-Revealing Signal Feature Extraction via Scattering Transform and Constrained Zeroth-Order Optimization

Naoki Saito, David Weber

We propose a new method to extract discriminant and explainable features from a particular machine learning model, i.e., a combination of the scattering transform and the multiclas…

eess.AS2022

The Scattering Transform Network with Generalized Morse Wavelets and Its Application to Music Genre Classification

Wai Ho Chak, Naoki Saito, David Weber

We propose to use the Generalized Morse Wavelets (GMWs) instead of commonly-used Morlet (or Gabor) wavelets in the Scattering Transform Network (STN), which we call the GMW-STN, fo…

cs.CV2025

Less is More: The Influence of Pruning on the Explainability of CNNs

Florian Merkle, David Weber, Pascal Schöttle +2

Over the last century, deep learning models have become the state-of-the-art for solving complex computer vision problems. These modern computer vision models have millions of para…