643 citations
- Ludwig-Maximilians-Universität MünchenDE115 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Instituto de Astrofísica de CanariasES7 papers
- KU LeuvenBE6 papers
- Universidad de La LagunaES6 papers
- Centro de AstrobiologíaES5 papers
- University of BonnDE5 papers
- University of Hawaiʻi at MānoaUS5 papers
- ETH ZurichCH4 papers
- European Southern ObservatoryCL4 papers
- Munich Center for Machine Learning4 papers
- Siemens (Germany)DE4 papers
10 papers · 1 filter
Learning physically consistent mathematical models from data using group sparsity
Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller +1
We propose a statistical learning framework based on group-sparse regression that can be used to 1) enforce conservation laws, 2) ensure model equivalence, and 3) guarantee symmetr…
Argument Mining Driven Analysis of Peer-Reviews
Michael Fromm, Evgeniy Faerman, Max Berrendorf +7
Peer reviewing is a central process in modern research and essential for ensuring high quality and reliability of published work. At the same time, it is a time-consuming process a…
Predictive Collision Management for Time and Risk Dependent Path Planning
Carsten Hahn, Sebastian Feld, Hannes Schroter
Autonomous agents such as self-driving cars or parcel robots need to recognize and avoid possible collisions with obstacles in order to move successfully in their environment. Huma…
Atmospheric NLTE models for the spectroscopic analysis of blue stars with winds. V. Complete comoving frame transfer, and updated modeling of X-ray emission
J. Puls, F. Najarro, J. O. Sundqvist +1
Context. Obtaining precise stellar and wind properties and abundance patterns of massive stars is crucial to understanding their nature and interactions with their environments, as…
Correctly Implementing Synchronous Message Passing in the Pi-Calculus By Concurrent Haskell's MVars
Manfred Schmidt-Schauß, David Sabel
Comparison of concurrent programming languages and correctness of program transformations in concurrency are the focus of this research. As criterion we use contextual semantics ad…
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
Thomas Gabor, Leo Sünkel, Fabian Ritz +5
We discuss the synergetic connection between quantum computing and artificial intelligence. After surveying current approaches to quantum artificial intelligence and relating them…