469 citations
- Leipzig UniversityDE50 papers
- Technische Universität DresdenDE26 papers
- German Research Centre for Artificial IntelligenceDE16 papers
- Max Planck Institute for Mathematics in the SciencesDE9 papers
- Friedrich Schiller University JenaDE8 papers
- Leipzig University of Applied SciencesDE7 papers
- Bauhaus-Universität WeimarDE6 papers
- University of KasselDE6 papers
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- Heidelberg UniversityDE5 papers
- Ludwig-Maximilians-Universität MünchenDE5 papers
- Max Planck Institute for MathematicsDE5 papers
27 papers · 1 filter
Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components
Peter Fichtelmann, Julia Westermayr
Predicting olfactory perception directly from molecular structure is central to fragrance design that plays a role in a wide range of industries, such as perfumery, food and bevera…
From the discrete to the continuous, from simplicial complexes to Riemannian manifolds. Approximating flows and cuts on manifolds by discrete versions
Marzieh Eidi, Juergen Jost, Dong Zhang
Many fundamental structures of Riemannian geometry have found discrete counterparts for graphs or combinatorial ones for simplicial complexes. These include those discussed in this…
Enumeration of Autocatalytic Subsystems in Large Chemical Reaction Networks
Richard Golnik, Thomas Gatter, Peter F. Stadler +1
Autocatalysis is an important feature of metabolic networks, contributing crucially to the self-maintenance of organisms. Autocatalytic subsystems of chemical reaction networks (CR…
Actionable Cybersecurity Notifications for Smart Homes: A User Study on the Role of Length and Complexity
Victor Jüttner, Charlotte S. Löffler, Erik Buchmann
The proliferation of smart home devices has increased convenience but also introduced cybersecurity risks for everyday users, as many devices lack robust security features. Intrusi…
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation
Ines Besrour, Jingbo He, Tobias Schreieder +1
We present SQuAI (https://squai.scads.ai/), a scalable and trustworthy multi-agent retrieval-augmented generation (RAG) framework for scientific question answering (QA) with large…
Quo-Vadis Multi-Agent Automotive Research? Insights from a Participatory Workshop and Questionnaire
Pavlo Bazilinskyy, Francesco Walker, Debargha Dey +5
The transition to mixed-traffic environments that involve automated vehicles, manually operated vehicles, and vulnerable road users presents new challenges for human-centered autom…