2.8k citations · 13.3k across the 90 of their papers we have counts for
7 papers · 1 filter
Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
Leander Weber, Jim Berend, Moritz Weckbecker +4
Gradient-based optimization has been a cornerstone of machine learning that enabled the vast advances of Artificial Intelligence (AI) development over the past decades. However, th…
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
Marco Aversa, Gabriel Nobis, Miriam Hägele +10
We present DiffInfinite, a hierarchical diffusion model that generates arbitrarily large histological images while preserving long-range correlation structural information. Our app…
XAI-based Comparison of Input Representations for Audio Event Classification
Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin +2
Deep neural networks are a promising tool for Audio Event Classification. In contrast to other data like natural images, there are many sensible and non-obvious representations for…
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
Frederik Pahde, Maximilian Dreyer, Wojciech Samek +1
State-of-the-art machine learning models often learn spurious correlations embedded in the training data. This poses risks when deploying these models for high-stake decision-makin…
Explainable AI for Time Series via Virtual Inspection Layers
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon +1
The field of eXplainable Artificial Intelligence (XAI) has greatly advanced in recent years, but progress has mainly been made in computer vision and natural language processing. F…
A Privacy Preserving System for Movie Recommendations Using Federated Learning
David Neumann, Andreas Lutz, Karsten Müller +1
Recommender systems have become ubiquitous in the past years. They solve the tyranny of choice problem faced by many users, and are utilized by many online businesses to drive enga…