Zobrazeno 1 - 10
of 54 676
pro vyhledávání: '"A, Natale"'
Understanding how information can efficiently spread in distributed systems under noisy communications is a fundamental question in both biological research and artificial system design. When agents are able to control whom they interact with, noise
Externí odkaz:
http://arxiv.org/abs/2411.02560
In recent years, the serverless paradigm has been widely adopted to develop cloud applications, as it enables building scalable solutions while delegating operational concerns such as infrastructure management and resource provisioning to the serverl
Externí odkaz:
http://arxiv.org/abs/2410.21793
Gaze is a crucial social cue in any interacting scenario and drives many mechanisms of social cognition (joint and shared attention, predicting human intention, coordination tasks). Gaze direction is an indication of social and emotional functions af
Externí odkaz:
http://arxiv.org/abs/2410.19374
Autor:
Natale, Emanuele, Ferre', Davide, Giambartolomei, Giordano, Giroire, Frédéric, Mallmann-Trenn, Frederik
Publikováno v:
38th Conference on Neural Information Processing Systems (NeurIPS 2024), Dec 2024, Vancouver, Canada
Considerable research efforts have recently been made to show that a random neural network $N$ contains subnetworks capable of accurately approximating any given neural network that is sufficiently smaller than $N$, without any training. This line of
Externí odkaz:
http://arxiv.org/abs/2410.14754
We propose a fully discrete finite volume scheme for the standard Fokker-Planck equation. The space discretization relies on the well-known square-root approximation, which falls into the framework of two-point flux approximations. Our time discretiz
Externí odkaz:
http://arxiv.org/abs/2410.03367
Autor:
Burner, Levi, Mantripragada, Pavan, Caddeo, Gabriele M., Natale, Lorenzo, Fermüller, Cornelia, Aloimonos, Yiannis
When humans perform insertion tasks such as inserting a cup into a cupboard, routing a cable, or key insertion, they wiggle the object and observe the process through tactile and proprioceptive feedback. While recent advances in tactile sensors have
Externí odkaz:
http://arxiv.org/abs/2410.02595
Autor:
Shahidzadeh, Amir-Hossein, Caddeo, Gabriele, Alapati, Koushik, Natale, Lorenzo, Fermüller, Cornelia, Aloimonos, Yiannis
In this paper, we tackle the problem of estimating 3D contact forces using vision-based tactile sensors. In particular, our goal is to estimate contact forces over a large range (up to 15 N) on any objects while generalizing across different vision-b
Externí odkaz:
http://arxiv.org/abs/2410.02048
Autor:
Stefani, Antonio Luigi, Bisagno, Niccolò, Rosani, Andrea, Conci, Nicola, De Natale, Francesco
Haptic feedback has been integrated into Virtual and Augmented Reality, complementing acoustic and visual information and contributing to an all-round immersive experience in multiple fields, spanning from the medical domain to entertainment and gami
Externí odkaz:
http://arxiv.org/abs/2409.20142
Autor:
Gabbrielli, Tecla, Pelini, Jacopo, Marschick, Georg, Consolino, Luigi, La Penna, Irene, Faist, Jérôme, Bertrand, Mathieu, Kapsalidis, Filippos, Weih, Robert, Höfling, Sven, Akikusa, Naota, Hinkov, Borislav, De Natale, Paolo, Cappelli, Francesco, Borri, Simone
The intensity noise of a laser source represents one of the key factors limiting the ultimate sensitivity in laser-based systems for sensing and telecommunication. For advanced applications based on interferometry, the availability of a shot-noise-li
Externí odkaz:
http://arxiv.org/abs/2409.12732
Deep Neural Networks have significantly impacted many computer vision tasks. However, their effectiveness diminishes when test data distribution (target domain) deviates from the one of training data (source domain). In situations where target labels
Externí odkaz:
http://arxiv.org/abs/2409.00741