22 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Robert Bosch (Germany)DE7 papers
- Robert Bosch StiftungDE5 papers
- University of StuttgartDE3 papers
- Berkeley CollegeUS1 paper
- BOS (Germany)DE1 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
8 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…
Novelty-based Generalization Evaluation for Traffic Light Detection
Arvind Kumar Shekar, Laureen Lake, Liang Gou +1
The advent of Convolutional Neural Networks (CNNs) has led to their application in several domains. One noteworthy application is the perception system for autonomous driving that…
Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving
Anthony Ngo, Max Paul Bauer, Michael Resch
The usage of environment sensor models for virtual testing is a promising approach to reduce the testing effort of autonomous driving. However, in order to deduce any statements re…
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…
Towards a Formalism-Based Toolkit for Automotive Applications
Rainer Gmehlich, Katrin Grau, Alexei Iliasov +3
The success of a number of projects has been shown to be significantly improved by the use of a formalism. However, there remains an open issue: to what extent can a development pr…