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of 390
pro vyhledávání: '"Rubio, Daniel"'
Deep latent generative models have attracted increasing attention due to the capacity of combining the strengths of deep learning and probabilistic models in an elegant way. The data representations learned with the models are often continuous and de
Externí odkaz:
http://arxiv.org/abs/2304.00935
Autor:
Hercus, Jess C., Salcedo Rubio, Daniel Alejandro, Osorio Nieto, Maria Elisa, Sturn, Mackenzie M.L., Keum, Cheayeong, Christians, Julian K.
Publikováno v:
In Placenta November 2024 157:76-80
Autor:
Gouzoulis, Michael J., Seddio, Anthony E., Rancu, Albert, Jabbouri, Sahir S., Moran, Jay, Varthi, Arya, Rubio, Daniel R., Grauer, Jonathan N.
Publikováno v:
In North American Spine Society Journal (NASSJ) December 2024 20
Autor:
Chen, Eddy Keming, Rubio, Daniel
Publikováno v:
Philosophy and Phenomenological Research, 2020, 100(1): 54-74
Although expected utility theory has proven a fruitful and elegant theory in the finite realm, attempts to generalize it to infinite values have resulted in many paradoxes. In this paper, we argue that the use of John Conway's surreal numbers shall p
Externí odkaz:
http://arxiv.org/abs/2111.00862
Autor:
Kotnis, Bhushan, Gashteovski, Kiril, Rubio, Daniel Oñoro, Rodriguez-Tembras, Vanesa, Shaker, Ammar, Takamoto, Makoto, Niepert, Mathias, Lawrence, Carolin
Open Information Extraction (OpenIE) is the task of extracting (subject, predicate, object) triples from natural language sentences. Current OpenIE systems extract all triple slots independently. In contrast, we explore the hypothesis that it may be
Externí odkaz:
http://arxiv.org/abs/2110.08144
The similarity of feature representations plays a pivotal role in the success of problems related to domain adaptation. Feature similarity includes both the invariance of marginal distributions and the closeness of conditional distributions given the
Externí odkaz:
http://arxiv.org/abs/2108.03531
Autor:
Lee, Hyojeong, Janjua, Fatima, Ragab, Ahmed, Moran, Jay, Haims, Andrew, Rubio, Daniel, Tuason, Dominick, Porrino, Jack
Publikováno v:
In Current Problems in Diagnostic Radiology May-June 2024 53(3):415-421
Autor:
Lee, Hyojeong, Janjua, Fatima, Ragab, Ahmed, Moran, Jay, Haims, Andrew, Rubio, Daniel, Tuason, Dominick, Porrino, Jack
Publikováno v:
In Current Problems in Diagnostic Radiology May-June 2024 53(3):405-414