Zobrazeno 1 - 10
of 2 390
pro vyhledávání: '"A. Vergari"'
Autor:
Motowilowa, Jana, Vergari, Maurizio, Kojić, Tanja, Warsinke, Maximilian, Möller, Sebastian, Voigt-Antons, Jan-Niklas
This study explored a concept for using Augmented Reality (AR) glasses to customize augmented table setup and lighting in a restaurant. The aim was to provide insights into AR usage in restaurants and contribute to existing research by introducing an
Externí odkaz:
http://arxiv.org/abs/2411.10230
Autor:
Gregucci, Cosimo, Xiong, Bo, Hernandez, Daniel, Loconte, Lorenzo, Minervini, Pasquale, Staab, Steffen, Vergari, Antonio
Complex query answering (CQA) on knowledge graphs (KGs) is gaining momentum as a challenging reasoning task. In this paper, we show that the current benchmarks for CQA are not really complex, and the way they are built distorts our perception of prog
Externí odkaz:
http://arxiv.org/abs/2410.12537
Autor:
Kaeder, Janne, Vergari, Maurizio, Biener, Verena, Kojić, Tanja, Grubert, Jens, Möller, Sebastian, Voigt-Antons, Jan-Niklas
Nowadays, Mixed Reality (MR) headsets are a game-changer for knowledge work. Unlike stationary monitors, MR headsets allow users to work with large virtual displays anywhere they wear the headset, whether in a professional office, a public setting li
Externí odkaz:
http://arxiv.org/abs/2410.04899
Autor:
Vergari, Maurizio, Kojić, Tanja, Wardah, Wafaa, Warsinke, Maximilian, Möller, Sebastian, Voigt-Antons, Jan-Niklas, Spang, Robert P.
The EyeSight feature, introduced with the new Apple Vision Pro XR headset, promises to revolutionize user interaction by simulating real human eye expressions on a digital display. This feature could enhance XR devices' social acceptability and socia
Externí odkaz:
http://arxiv.org/abs/2410.02053
Autor:
Loconte, Lorenzo, Mari, Antonio, Gala, Gennaro, Peharz, Robert, de Campos, Cassio, Quaeghebeur, Erik, Vessio, Gennaro, Vergari, Antonio
This paper establishes a rigorous connection between circuit representations and tensor factorizations, two seemingly distinct yet fundamentally related areas. By connecting these fields, we highlight a series of opportunities that can benefit both c
Externí odkaz:
http://arxiv.org/abs/2409.07953
Large language models (LLMs) are a promising venue for natural language understanding and generation. However, current LLMs are far from reliable: they are prone to generating non-factual information and, more crucially, to contradicting themselves w
Externí odkaz:
http://arxiv.org/abs/2409.13724
Autor:
Warsinke, Maximilian, Kojić, Tanja, Vergari, Maurizio, Voigt-Antons, Jan-Niklas, Möller, Sebastian
This study explores the user experience (UX) of virtual reality (VR) cloud gaming under simulated network degradation conditions. Two contrasting games (Beat Saber, Cubism) were streamed via Meta Air Link to a Quest 3 device in a laboratory setup. Pa
Externí odkaz:
http://arxiv.org/abs/2408.12238
Designing expressive generative models that support exact and efficient inference is a core question in probabilistic ML. Probabilistic circuits (PCs) offer a framework where this tractability-vs-expressiveness trade-off can be analyzed theoretically
Externí odkaz:
http://arxiv.org/abs/2408.11778
Code-LLMs, LLMs pre-trained on large code corpora, have shown great progress in learning rich representations of the structure and syntax of code, successfully using it to generate or classify code fragments. At the same time, understanding if they a
Externí odkaz:
http://arxiv.org/abs/2408.11081
Autor:
Bortolotti, Samuele, Marconato, Emanuele, Carraro, Tommaso, Morettin, Paolo, van Krieken, Emile, Vergari, Antonio, Teso, Stefano, Passerini, Andrea
The advent of powerful neural classifiers has increased interest in problems that require both learning and reasoning. These problems are critical for understanding important properties of models, such as trustworthiness, generalization, interpretabi
Externí odkaz:
http://arxiv.org/abs/2406.10368