50 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Paderborn UniversityDE3 papers
- Informatique, BioInformatique, Systèmes ComplexesFR2 papers
- Universidad de Los AndesCO2 papers
- Universidad Nacional de ColombiaCO2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Gleason (United States)US1 paper
- Institute for Sports MedicineDE1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Instituto de Física de São CarlosBR1 paper
- Laboratoire Interdisciplinaire des Sciences du NumériqueFR1 paper
- Leiden UniversityNL1 paper
- Ludwig-Maximilians-Universität MünchenDE1 paper
11 papers
HKT: A Biologically Inspired Framework for Modular Hereditary Knowledge Transfer in Neural Networks
Yanick Chistian Tchenko, Felix Mohr, Hicham Hadj Abdelkader +1
A prevailing trend in neural network research suggests that model performance improves with increasing depth and capacity - often at the cost of integrability and efficiency. In th…
Spin-deformation coupling in two-dimensional polar materials
J. A. Sánchez-Monroy, Carlos Mera Acosta
The control of the spin degree of freedom is at the heart of spintronics, which can potentially be achieved by spin-orbit coupling or band topological effects. In this paper, we ex…
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
Haozhe Sun, Isabelle Guyon, Felix Mohr +1
It has become mainstream in computer vision and other machine learning domains to reuse backbone networks pre-trained on large datasets as preprocessors. Typically, the last layer…
PyExperimenter: Easily distribute experiments and track results
Tanja Tornede, Alexander Tornede, Lukas Fehring +5
PyExperimenter is a tool to facilitate the setup, documentation, execution, and subsequent evaluation of results from an empirical study of algorithms and in particular is designed…
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
Felix Mohr, Jan N. van Rijn
Learning curves are a concept from social sciences that has been adopted in the context of machine learning to assess the performance of a learning algorithm with respect to a cert…
Towards Green Automated Machine Learning: Status Quo and Future Directions
Tanja Tornede, Alexander Tornede, Jonas Hanselle +3
Automated machine learning (AutoML) strives for the automatic configuration of machine learning algorithms and their composition into an overall (software) solution - a machine lea…
Odd transgression for Courant algebroids
Paul Bressler, Camilo Rengifo
The "odd transgression" introduced by the authors in an earlier article is applied to construct and study the inverse image functor in the theory of Courant algebroids.
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
Alexander Tornede, Marcel Wever, Stefan Werner +2
Algorithm selection (AS) deals with the automatic selection of an algorithm from a fixed set of candidate algorithms most suitable for a specific instance of an algorithmic problem…
Critical Role of Docking Bay Assignment in the Performance of a Bus Rapid Transit System
M. A. Uribe-Laverde, W. F. Oquendo-Patiño
Bus rapid transit (BRT) systems are a cost-effective public transportation solution moving millions of passengers every day. To optimize their operation, it is usual to implement m…
On higher-dimensional Courant algebroids
Paul Bressler, Camilo Rengifo
We define the transgression functor which associates to a (higher-dimensional) Courant algebroid on a manifold a Lie algebroid on the shifted tangent bundle of the manifold.
Critical phases in the raise and peel model
D. A. C. Jara, F. C. Alcaraz
The raise and peel model (RPM) is a nonlocal stochastic model describing the space and time fluctuations of an evolving one dimensional interface. Its relevant parameter is the…