22 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Robert Bosch (Germany)DE5 papers
- Robert Bosch HospitalDE5 papers
- University of StuttgartDE2 papers
- Berkeley CollegeUS1 paper
- Dubna State UniversityRU1 paper
- European CommissionBE1 paper
- Gran Sasso Science InstituteIT1 paper
- Institute for Nuclear ResearchRU1 paper
- Institute for Theoretical and Experimental PhysicsRU1 paper
- Institute of PhysicsPL1 paper
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran SassoIT1 paper
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del SudIT1 paper
5 papers
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka +5
Open-domain visual entity recognition aims to identify and link entities depicted in images to a vast and evolving set of real-world concepts, such as those found in Wikidata. Unli…
Pulse shape analysis in GERDA Phase II
The GERDA collaboration, M. Agostini, G. Araujo +113
The GERmanium Detector Array (GERDA) collaboration searched for neutrinoless double- decay in Ge using isotopically enriched high purity germanium detectors at the Labora…
Model Order Reduction for Rotating Electrical Machines
Zeger Bontinck, Oliver Lass, Sebastian Schöps +1
The simulation of electric rotating machines is both computationally expensive and memory intensive. To overcome these costs, model order reduction techniques can be applied. The f…
Spatial Decompositions for Large Scale SVMs
Philipp Thomann, Ingrid Blaschzyk, Mona Meister +1
Although support vector machines (SVMs) are theoretically well understood, their underlying optimization problem becomes very expensive, if, for example, hundreds of thousands of s…
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
Michael Herman, Tobias Gindele, Jörg Wagner +2
Inverse Reinforcement Learning (IRL) describes the problem of learning an unknown reward function of a Markov Decision Process (MDP) from observed behavior of an agent. Since the a…