699 citations
- Centre National de la Recherche ScientifiqueFR24 papers
- Max Planck Institute for InformaticsDE23 papers
- German Research Centre for Artificial IntelligenceDE13 papers
- Karlsruhe Institute of TechnologyDE11 papers
- Universitat Autònoma de BarcelonaES11 papers
- Helmholtz Center for Information SecurityDE10 papers
- Leipzig UniversityDE10 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR9 papers
- Institute for Solid State Physics and OpticsHU9 papers
- Max Planck SocietyDE9 papers
- RWTH Aachen UniversityDE8 papers
- Universität HamburgDE8 papers
12 papers · 1 filter
GINA: Neural Relational Inference From Independent Snapshots
Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler +1
Dynamical systems in which local interactions among agents give rise to complex emerging phenomena are ubiquitous in nature and society. This work explores the problem of inferring…
Factoring out prior knowledge from low-dimensional embeddings
Edith Heiter, Jonas Fischer, Jilles Vreeken
Low-dimensional embedding techniques such as tSNE and UMAP allow visualizing high-dimensional data and therewith facilitate the discovery of interesting structure. Although they ar…
Predicting Autism Spectrum Disorder Using Machine Learning Classifiers
Koushik Chowdhury, Mir Ahmad Iraj
Autism Spectrum Disorder (ASD) is on the rise and constantly growing. Earlier identify of ASD with the best outcome will allow someone to be safe and healthy by proper nursing. Hum…
Learning Functions to Study the Benefit of Multitask Learning
Gabriele Bettgenhäuser, Michael A. Hedderich, Dietrich Klakow
We study and quantify the generalization patterns of multitask learning (MTL) models for sequence labeling tasks. MTL models are trained to optimize a set of related tasks jointly.…
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Pedro Mercado, Francesco Tudisco, Matthias Hein
We study the task of semi-supervised learning on multilayer graphs by taking into account both labeled and unlabeled observations together with the information encoded by each indi…
Convex Optimisation for Inverse Kinematics
Tarun Yenamandra, Florian Bernard, Jiayi Wang +2
We consider the problem of inverse kinematics (IK), where one wants to find the parameters of a given kinematic skeleton that best explain a set of observed 3D joint locations. The…