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pro vyhledávání: '"Porres, Diego"'
Autor:
Porres, Diego
The latent space of many generative models are rich in unexplored valleys and mountains. The majority of tools used for exploring them are so far limited to Graphical User Interfaces (GUIs). While specialized hardware can be used for this task, we sh
Externí odkaz:
http://arxiv.org/abs/2409.09867
Autor:
Porres, Diego, Gomez-Villa, Alex
Since NFTs and large generative models (such as DALLE2 and Stable Diffusion) have been publicly available, artists have seen their jobs threatened and stolen. While artists depend on sharing their art on online platforms such as Deviantart, Pixiv, an
Externí odkaz:
http://arxiv.org/abs/2406.08739
Vision-based end-to-end driving models trained by imitation learning can lead to affordable solutions for autonomous driving. However, training these well-performing models usually requires a huge amount of data, while still lacking explicit and intu
Externí odkaz:
http://arxiv.org/abs/2405.00242
On end-to-end driving, human driving demonstrations are used to train perception-based driving models by imitation learning. This process is supervised on vehicle signals (e.g., steering angle, acceleration) but does not require extra costly supervis
Externí odkaz:
http://arxiv.org/abs/2302.03198
Autor:
Ma, Donghai, Muñoz, Xavier, Ojanguren, Iñigo, Romero-Mesones, Christian, Soler-Segovia, David, Varona-Porres, Diego, Cruz, María-Jesús
Publikováno v:
In Archivos de Bronconeumología November 2024 60(11):682-689
Autor:
Mullen, Mary P. 1, 2, ∗, Ivy, D. Dunbar 3, Varghese, Nidhy P. 4, Winant, Abbey J. 5, Cortes-Santiago, Nahir 6, Vargas, Sara O. 7, Porres, Diego 1, 2, Maschietto, Nicola 1, 2, Critser, Paul J. 8, 9, Hirsch, Russel 8, 9, Avitabile, Catherine M. 10, 11, Hopper, Rachel K. 12, Frank, Benjamin S. 3, Coleman, Ryan D. 13, Agrawal, Pankaj B. 14, 15, 16, Madden, Jill A. 14, 15, Roberts, Amy E. 1, 2, 15, Collins, Shane L. 1, Raj, J. Usha 17, Austin, Eric D. 18, Chung, Wendy K. 2, 19, Abman, Steven H. 20
Publikováno v:
In The Journal of Pediatrics March 2025 278
Autor:
Porres, Diego
Generative Adversarial Networks have long since revolutionized the world of computer vision and, tied to it, the world of art. Arduous efforts have gone into fully utilizing and stabilizing training so that outputs of the Generator network have the h
Externí odkaz:
http://arxiv.org/abs/2111.02175
Akademický článek
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On end-to-end driving, a large amount of expert driving demonstrations is used to train an agent that mimics the expert by predicting its control actions. This process is self-supervised on vehicle signals (e.g., steering angle, acceleration) and doe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b44b61a38d2d90bdf8bddc37c5747f4f
Publikováno v:
In Medicina Clínica (English Edition) 29 November 2024 163(10):e103-e103