Zobrazeno 1 - 10
of 2 371
pro vyhledávání: '"Vergari A"'
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
Probabilistic integral circuits (PICs) have been recently introduced as probabilistic models enjoying the key ingredient behind expressive generative models: continuous latent variables (LVs). PICs are symbolic computational graphs defining continuou
Externí odkaz:
http://arxiv.org/abs/2406.06494
Publikováno v:
Malaysian Orthopaedic Journal, Vol 14, Iss 2, Pp 57-63 (2020)
INTRODUCTION: The aim of this study was the evaluation of two different techniques on post-operative analgesia and motor recovery after hallux valgus correction in one-day surgery patients. MATERIALS AND METHODS: We enrolled 26 patients scheduled f
Externí odkaz:
https://doaj.org/article/2883ff7845514b20accca266fce89b70
Autor:
Warsinke, Maximilian, Kojić, Tanja, Vergari, Maurizio, Spang, Robert, Voigt-Antons, Jan-Niklas, Möller, Sebastian
This study investigates the feasibility of remote virtual reality (VR) studies conducted at home using VR headsets and video conferencing by deploying an experiment on emotion ratings. 20 participants used head-mounted displays to immerse themselves
Externí odkaz:
http://arxiv.org/abs/2404.16487