227 citations
- University of StuttgartDE59 papers
- Max Planck Institute for Intelligent SystemsDE4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Heidelberg UniversityDE3 papers
- Baden-Wuerttemberg Cooperative State UniversityDE2 papers
- British Astronomical AssociationGB2 papers
- Center for Integrated Quantum Science and TechnologyDE2 papers
- Graz University of TechnologyAT2 papers
- Jet Propulsion LaboratoryUS2 papers
- Kirchhoff (Germany)DE2 papers
- Max Planck Institute for Solid State ResearchDE2 papers
- Planetary Science InstituteUS2 papers
4 papers · 1 filter
Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
Patrick Egenlauf, Iva Březinová, Sabine Andergassen +1
Out-of-equilibrium quantum many-body systems exhibit rapid correlation buildup that underlies many emerging phenomena. Exact wave-function methods to describe this scale exponentia…
Certified machine learning: A posteriori error estimation for physics-informed neural networks
Birgit Hillebrecht, Benjamin Unger
Physics-informed neural networks (PINNs) are one popular approach to incorporate a priori knowledge about physical systems into the learning framework. PINNs are known to be robust…
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data
Benjamin Maschler, Tim Knodel, Michael Weyrich
Deep learning promises performant anomaly detection on time-variant datasets, but greatly suffers from low availability of suitable training datasets and frequently changing tasks.…
IdBench: Evaluating Semantic Representations of Identifier Names in Source Code
Yaza Wainakh, Moiz Rauf, Michael Pradel
Identifier names convey useful information about the intended semantics of code. Name-based program analyses use this information, e.g., to detect bugs, to predict types, and to im…