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pro vyhledávání: '"Haas, René"'
Autor:
Haas, René, Huberman-Spiegelglas, Inbar, Mulayoff, Rotem, Graßhof, Stella, Brandt, Sami S., Michaeli, Tomer
Denoising Diffusion Models (DDMs) have emerged as a strong competitor to Generative Adversarial Networks (GANs). However, despite their widespread use in image synthesis and editing applications, their latent space is still not as well understood. Re
Externí odkaz:
http://arxiv.org/abs/2303.11073
In this paper, we present an approach for combining non-rigid structure-from-motion (NRSfM) with deep generative models,and propose an efficient framework for discovering trajectories in the latent space of 2D GANs corresponding to changes in 3D geom
Externí odkaz:
http://arxiv.org/abs/2211.07195
In this paper, we use a tensor model based on the Higher-Order Singular Value Decomposition (HOSVD) to discover semantic directions in Generative Adversarial Networks. This is achieved by first embedding a structured facial expression database into t
Externí odkaz:
http://arxiv.org/abs/2205.06102
In this paper, we propose $\tau$GAN a tensor-based method for modeling the latent space of generative models. The objective is to identify semantic directions in latent space. To this end, we propose to fit a multilinear tensor model on a structured
Externí odkaz:
http://arxiv.org/abs/2111.04554
Autor:
Haas, René, Derczynski, Leon
Automatic language identification is a challenging problem. Discriminating between closely related languages is especially difficult. This paper presents a machine learning approach for automatic language identification for the Nordic languages, whic
Externí odkaz:
http://arxiv.org/abs/2012.06431
Akademický článek
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Autor:
Haas, René Manuel
Massachusetts Institute of Technology. Dept. of Electrical Engineering. Thesis. 1974. M.S.
MICROFICHE COPY ALSO AVAILABLE IN BARKER ENGINEERING LIBRARY.
Includes bibliographical references.
M.S.
MICROFICHE COPY ALSO AVAILABLE IN BARKER ENGINEERING LIBRARY.
Includes bibliographical references.
M.S.
Externí odkaz:
http://hdl.handle.net/1721.1/13571
Autor:
Haas, René, Derczynski, Leon
Publikováno v:
Haas, R & Derczynski, L 2021, Discriminating Between Similar Nordic Languages . in Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects . Association for Computational Linguistics, pp. 67–75 . < https://www.aclweb.org/anthology/2021.vardial-1.8/ >
Automatic language identification is a challenging problem. Discriminating between closely related languages is especially difficult. This paper presents a machine learning approach for automatic language identification for the Nordic languages, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2988::eb401e2c60527c306024d2b2276f0846
https://pure.itu.dk/portal/da/publications/9d31bf14-54be-41ad-88a7-9396a2d681a5
https://pure.itu.dk/portal/da/publications/9d31bf14-54be-41ad-88a7-9396a2d681a5
Autor:
Haas, René, De Murcia, Gilbert
Publikováno v:
Journal of Electron Microscopy Technique; 1985, Vol. 2 Issue 5, p519-520, 2p