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bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.
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221 to 225 of 225 Results
Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds
Sep 4, 2023
Bönisch, Kilian, 2023, "Replication Data for: Modularity of special motives of rank four associated with Calabi-Yau threefolds", https://doi.org/10.60507/FK2/NH7BPD, bonndata, V1
This repository contains programs which generate the computational results used in the corresponding doctoral thesis. This includes computations of periods, traces of Frobenius automorphisms and Hecke operators.
Implementation of An Elastic Basis for Spectral Shape Correspondence
Jun 30, 2023 - Bonn Mathematics
Hartwig, Florine; Sassen, Josua; Azencot, Omri; Rumpf, Martin; Ben Chen, Mirela, 2023, "Implementation of An Elastic Basis for Spectral Shape Correspondence", https://doi.org/10.60507/FK2/DXOEHJ, bonndata, V1
An implementation of a spectral non-isometric correspondence method that aligns extrinsic features using a functional map approach. To this end, we propose and use a novel crease-aware spectral basis derived from the Hessian of an elastic thin shell energy.
The Freaky Torus
Jun 29, 2023 - Bonn Mathematics
Sassen, Josua; Hildebrandt, Klaus; Rumpf, Martin; Wirth, Benedikt, 2023, "The Freaky Torus", https://doi.org/10.60507/FK2/LORXU7, bonndata, V1
This dataset contains the Python code to compute samples on our shape space Freaky Torus of deformed tori, a synthetic shape space with factors S¹×S¹×T² The first factor, an S¹, controls the deformation of the latitudinal cross-section into a rotated ellipse. The next factor, ano...
An Unsupervised Baseline For Dialogue Breakdown Detection Using Ouf-of-distribution Detection
Jun 5, 2023
Nedelchev, Rostislav, 2023, "An Unsupervised Baseline For Dialogue Breakdown Detection Using Ouf-of-distribution Detection", https://doi.org/10.60507/FK2/MAVB6H, bonndata, V1
For the last several decades, a focus of artificial intelligence work has been computer-based systems for interacting with humans. Such a system must ensure smooth communication to provide thoughtful answers by interacting with the system. A major critical issue is they can creat...
Evaluating Dialogue Systems via an Opinion
Jun 5, 2023
Nedelchev, Rostislav, 2023, "Evaluating Dialogue Systems via an Opinion", https://doi.org/10.60507/FK2/FX37GD, bonndata, V1
Dialogue systems are a significant field of research and development in artificial intelligence. Until today, the evaluation of such algorithms happens in one fundamental way. They solve "hypothetical problems," i.e., dialog systems are tested by being asked to respond in specifi...
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