Zobrazeno 1 - 10
of 1 004
pro vyhledávání: '"Kalatzis, P."'
Autor:
van Rozendaal, Ties, Singhal, Tushar, Le, Hoang, Sautiere, Guillaume, Said, Amir, Buska, Krishna, Raha, Anjuman, Kalatzis, Dimitris, Mehta, Hitarth, Mayer, Frank, Zhang, Liang, Nagel, Markus, Wiggers, Auke
Neural video codecs have recently become competitive with standard codecs such as HEVC in the low-delay setting. However, most neural codecs are large floating-point networks that use pixel-dense warping operations for temporal modeling, making them
Externí odkaz:
http://arxiv.org/abs/2310.01258
Autor:
Arvanitidis, Georgios, González-Duque, Miguel, Pouplin, Alison, Kalatzis, Dimitris, Hauberg, Søren
Latent space geometry has shown itself to provide a rich and rigorous framework for interacting with the latent variables of deep generative models. The existing theory, however, relies on the decoder being a Gaussian distribution as its simple repar
Externí odkaz:
http://arxiv.org/abs/2106.05367
We present a framework for learning probability distributions on topologically non-trivial manifolds, utilizing normalizing flows. Current methods focus on manifolds that are homeomorphic to Euclidean space, enforce strong structural priors on the le
Externí odkaz:
http://arxiv.org/abs/2106.03500
Publikováno v:
Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, PMLR 119, 2020
Variational Autoencoders (VAEs) represent the given data in a low-dimensional latent space, which is generally assumed to be Euclidean. This assumption naturally leads to the common choice of a standard Gaussian prior over continuous latent variables
Externí odkaz:
http://arxiv.org/abs/2002.05227
Akademický článek
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Autor:
Dimitris Kalatzis, Ellas Spyratou, Maria Karnachoriti, Maria Anthi Kouri, Spyros Orfanoudakis, Nektarios Koufopoulos, Abraham Pouliakis, Nikolaos Danias, Ioannis Seimenis, Athanassios G. Kontos, Efstathios P. Efstathopoulos
Publikováno v:
Optics, Vol 4, Iss 2, Pp 310-320 (2023)
Advanced Raman spectroscopy (RS) systems have gained new interest in the field of medicine as an emerging tool for in vivo tissue discrimination. The coupling of RS with artificial intelligence (AI) algorithms has given a boost to RS to analyze spect
Externí odkaz:
https://doaj.org/article/906ab57d35444ea5a8078cd4f5e75428
Autor:
Georgios Mavrovounis, Aikaterini Skouroliakou, Ioannis Kalatzis, George Stranjalis, Theodosis Kalamatianos
Publikováno v:
Biomolecules, Vol 14, Iss 5, p 536 (2024)
In the present study, we conducted a scoping review to provide an overview of the existing literature on the carbocyanine dye DiI, in human neuroanatomical tract tracing. The PubMed, Scopus, and Web of Science databases were systematically searched.
Externí odkaz:
https://doaj.org/article/be4eee0a855248c48ea0ac28eaf49874
Autor:
Béatrice Bocquet, Caroline Borday, Nejla Erkilic, Daria Mamaeva, Alicia Donval, Christel Masson, Karine Parain, Karolina Kaminska, Mathieu Quinodoz, Irene Perea-Romero, Gema Garcia-Garcia, Carla Jimenez-Medina, Hassan Boukhaddaoui, Arthur Coget, Nicolas Leboucq, Giacomo Calzetti, Stefano Gandolfi, Antonio Percesepe, Valeria Barili, Vera Uliana, Marco Delsante, Francesca Bozzetti, Hendrik P.N. Scholl, Marta Corton, Carmen Ayuso, Jose M. Millan, Carlo Rivolta, Isabelle Meunier, Muriel Perron, Vasiliki Kalatzis
Publikováno v:
JCI Insight, Vol 8, Iss 21 (2023)
Retinitis pigmentosa (RP) is the most common inherited retinal disease (IRD) and is characterized by photoreceptor degeneration and progressive vision loss. We report 4 patients presenting with RP from 3 unrelated families with variants in TBC1D32, w
Externí odkaz:
https://doaj.org/article/95febfe0764a45129e5a016236db8fd5
Autor:
Carla Sanjurjo-Soriano, Carla Jimenez-Medina, Nejla Erkilic, Luisina Cappellino, Arnaud Lefevre, Kerstin Nagel-Wolfrum, Uwe Wolfrum, Erwin Van Wijk, Anne-Françoise Roux, Isabelle Meunier, Vasiliki Kalatzis
Publikováno v:
HGG Advances, Vol 4, Iss 4, Pp 100229- (2023)
Summary: There is an emblematic clinical and genetic heterogeneity associated with inherited retinal diseases (IRDs). The most common form is retinitis pigmentosa (RP), a rod-cone dystrophy caused by pathogenic variants in over 80 different genes. Fu
Externí odkaz:
https://doaj.org/article/12422b011d57494b951baf0609ec467e
Autor:
Jean-Madeleine de Sainte Agathe, Mathilde Filser, Bertrand Isidor, Thomas Besnard, Paul Gueguen, Aurélien Perrin, Charles Van Goethem, Camille Verebi, Marion Masingue, John Rendu, Mireille Cossée, Anne Bergougnoux, Laurent Frobert, Julien Buratti, Élodie Lejeune, Éric Le Guern, Florence Pasquier, Fabienne Clot, Vasiliki Kalatzis, Anne-Françoise Roux, Benjamin Cogné, David Baux
Publikováno v:
Human Genomics, Vol 17, Iss 1, Pp 1-16 (2023)
Abstract SpliceAI is an open-source deep learning splicing prediction algorithm that has demonstrated in the past few years its high ability to predict splicing defects caused by DNA variations. However, its outputs present several drawbacks: (1) alt
Externí odkaz:
https://doaj.org/article/6a70fd35d3034a74859689ebbe00f9a6