Zobrazeno 1 - 10
of 2 534
pro vyhledávání: '"Scimeca, A"'
Training a diverse ensemble of models has several practical applications such as providing candidates for model selection with better out-of-distribution (OOD) generalization, and enabling the detection of OOD samples via Bayesian principles. An exis
Externí odkaz:
http://arxiv.org/abs/2409.16797
Autor:
Venkatraman, Siddarth, Jain, Moksh, Scimeca, Luca, Kim, Minsu, Sendera, Marcin, Hasan, Mohsin, Rowe, Luke, Mittal, Sarthak, Lemos, Pablo, Bengio, Emmanuel, Adam, Alexandre, Rector-Brooks, Jarrid, Bengio, Yoshua, Berseth, Glen, Malkin, Nikolay
Diffusion models have emerged as effective distribution estimators in vision, language, and reinforcement learning, but their use as priors in downstream tasks poses an intractable posterior inference problem. This paper studies amortized sampling of
Externí odkaz:
http://arxiv.org/abs/2405.20971
Autor:
Sendera, Marcin, Kim, Minsu, Mittal, Sarthak, Lemos, Pablo, Scimeca, Luca, Rector-Brooks, Jarrid, Adam, Alexandre, Bengio, Yoshua, Malkin, Nikolay
We study the problem of training diffusion models to sample from a distribution with a given unnormalized density or energy function. We benchmark several diffusion-structured inference methods, including simulation-based variational approaches and o
Externí odkaz:
http://arxiv.org/abs/2402.05098
Autor:
Scimeca, Luca, Rubinstein, Alexander, Teney, Damien, Oh, Seong Joon, Nicolicioiu, Armand Mihai, Bengio, Yoshua
Spurious correlations in the data, where multiple cues are predictive of the target labels, often lead to a phenomenon known as shortcut learning, where a model relies on erroneous, easy-to-learn cues while ignoring reliable ones. In this work, we pr
Externí odkaz:
http://arxiv.org/abs/2311.16176
Autor:
Scimeca, Luca, Rubinstein, Alexander, Nicolicioiu, Armand Mihai, Teney, Damien, Bengio, Yoshua
Spurious correlations in the data, where multiple cues are predictive of the target labels, often lead to shortcut learning phenomena, where a model may rely on erroneous, easy-to-learn, cues while ignoring reliable ones. In this work, we propose an
Externí odkaz:
http://arxiv.org/abs/2310.02230
Developing reliable computational frameworks for early parasite detection, particularly at the ova (or egg) stage is crucial for advancing healthcare and effectively managing potential public health crises. While deep learning has significantly assis
Externí odkaz:
http://arxiv.org/abs/2309.10210
Autor:
Sara Giovannini, Artem Smirnov, Livia Concetti, Manuel Scimeca, Alessandro Mauriello, Julia Bischof, Valentina Rovella, Gerry Melino, Claudio Oreste Buonomo, Eleonora Candi, Francesca Bernassola
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-13 (2024)
Abstract Breast cancer is the most common cause of death from cancer in women. Here, we present the case of a 43-year-old woman, who received a diagnosis of claudin-low luminal B breast cancer. The lesion revealed to be a poorly differentiated high-g
Externí odkaz:
https://doaj.org/article/ccdd64d0c6924cd9a3773406e9be3184
Autor:
Giuseppe Frazzetta, Antonino Picciurro, Angela Maffongelli, Irene Vitale, Francesco Vitale, Daniela Scimeca, Michele Amata, Anna Calì, Ambra Bonaccorso, Barbara Scrivo, Vincenzo Di Martino, Elisabetta Conte, Filippo Mocciaro, Roberto Di Mitri, Pierenrico Marchesa
Publikováno v:
Laparoscopic, Endoscopic and Robotic Surgery, Vol 7, Iss 2, Pp 87-91 (2024)
Surgery for lesions of the proximal part of the pancreatic body or neck can be challenging, and when enucleation is not possible, central pancreatectomy is an option. Laparoscopic central pancreatic resection is rarely described worldwide; it is cons
Externí odkaz:
https://doaj.org/article/aeed9e928ec546ae989fdde2af7fc9da
Autor:
Manuel Scimeca, Valeria Palumbo, Erica Giacobbi, Francesca Servadei, Stefano Casciardi, Elena Cornella, Federica Cerbara, Gabriele Rotondaro, Christian Seghetti, Maria Paola Scioli, Manuela Montanaro, Francesco Barillà, Renata Sisto, Gerry Melino, Alessandro Mauriello, Rita Bonfiglio
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e38047- (2024)
Environmental pollution poses a significant threat to human health, particularly concerning its impact on cardiovascular diseases (CVDs). This review synthesizes epidemiological and molecular evidence to elucidate the intricate relationship between e
Externí odkaz:
https://doaj.org/article/efd6ef3698914f42a21ad0ebf742ce6c
Autor:
Manuel Scimeca, Julia Bischof, Rita Bonfiglio, Elisabetta Nale, Valerio Iacovelli, Marco Carilli, Matteo Vittori, Massimiliano Agostini, Valentina Rovella, Francesca Servadei, Erica Giacobbi, Eleonora Candi, Yufang Shi, Gerry Melino, Alessandro Mauriello, Pierluigi Bove
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-7 (2024)
Abstract The increasing incidence of urothelial bladder cancer is a notable global concern, as evidenced by the epidemiological data in terms of frequency, distribution, as well as mortality rates. Although numerous molecular alterations have been li
Externí odkaz:
https://doaj.org/article/e8a7a204e29145f4939192e4c88fe795