380 citations · 1.9k across the 29 of their papers we have counts for
29 papers
Nonequilibrium Universality of Rydberg-Excitation Spreading on a Dynamic Network
Simon Ohler, Daniel Brady, Patrick Mischke +6
Understanding the universal properties of non-equilibrium phase transitions of spreading processes is a challenging problem. This applies in particular to irregular and dynamically…
Anomalous Directed Percolation on a Dynamic Network using Rydberg Facilitation
Daniel Brady, Simon Ohler, Johannes Otterbach +1
The facilitation of Rydberg excitations in a gas of atoms provides an ideal model system to study epidemic evolution on (dynamic) networks and self organization of complex systems…
Scaling Experiments in Self-Supervised Cross-Table Representation Learning
Maximilian Schambach, Dominique Paul, Johannes S. Otterbach
To analyze the scaling potential of deep tabular representation learning models, we introduce a novel Transformer-based architecture specifically tailored to tabular data and cross…
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Julien Siems, Konstantin Ditschuneit, Winfried Ripken +4
Generalized Additive Models (GAMs) have recently experienced a resurgence in popularity due to their interpretability, which arises from expressing the target value as a sum of non…
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation
Alexander Koenig, Maximilian Schambach, Johannes Otterbach
Self-supervised pre-training strategies have recently shown impressive results for training general-purpose feature extraction backbones in computer vision. In combination with the…
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management
Julien Siems, Maximilian Schambach, Sebastian Schulze +1
The COVID-19 pandemic has highlighted the importance of supply chains and the role of digital management to react to dynamic changes in the environment. In this work, we focus on d…