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pro vyhledávání: '"Lim, Jae Hyun"'
Autor:
Lim, Jae Hyun, Kovachki, Nikola B., Baptista, Ricardo, Beckham, Christopher, Azizzadenesheli, Kamyar, Kossaifi, Jean, Voleti, Vikram, Song, Jiaming, Kreis, Karsten, Kautz, Jan, Pal, Christopher, Vahdat, Arash, Anandkumar, Anima
Diffusion models have recently emerged as a powerful framework for generative modeling. They consist of a forward process that perturbs input data with Gaussian white noise and a reverse process that learns a score function to generate samples by den
Externí odkaz:
http://arxiv.org/abs/2302.07400
Publikováno v:
In Energy Reports June 2024 11:2090-2098
Discrete-time diffusion-based generative models and score matching methods have shown promising results in modeling high-dimensional image data. Recently, Song et al. (2021) show that diffusion processes that transform data into noise can be reversed
Externí odkaz:
http://arxiv.org/abs/2106.02808
Entropy is ubiquitous in machine learning, but it is in general intractable to compute the entropy of the distribution of an arbitrary continuous random variable. In this paper, we propose the amortized residual denoising autoencoder (AR-DAE) to appr
Externí odkaz:
http://arxiv.org/abs/2006.05164
For embodied agents to infer representations of the underlying 3D physical world they inhabit, they should efficiently combine multisensory cues from numerous trials, e.g., by looking at and touching objects. Despite its importance, multisensory 3D s
Externí odkaz:
http://arxiv.org/abs/1910.02344
Autor:
Oh, Seung-Taek1 (AUTHOR) ost73@kongju.ac.kr, Lim, Jae-Hyun2 (AUTHOR) defacto@kongju.ac.kr
Publikováno v:
Information (2078-2489). Dec2023, Vol. 14 Issue 12, p628. 12p.
Autor:
Lim, Jae Hyun, Ye, Jong Chul
Generative Adversarial Nets (GANs) represent an important milestone for effective generative models, which has inspired numerous variants seemingly different from each other. One of the main contributions of this paper is to reveal a unified geometri
Externí odkaz:
http://arxiv.org/abs/1705.02894
Akademický článek
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Autor:
Yun, Jun Pil, Choi, Eue-Keun, Han, Kyung-Do, Park, Sang Hyun, Jung, Jin-Hyung, Park, Sang Hyeon, Ahn, Hyo-Jeong, Lim, Jae-Hyun, Lee, So-Ryoung, Oh, Seil
Publikováno v:
In JACC: CardioOncology June 2021 3(2):221-232
Autor:
Ha, Jang Ho1 (AUTHOR), Lim, Jae Hyun2 (AUTHOR), Lee, Jong Min3 (AUTHOR) jlee@ync.ac.kr, Chung, Bong Geun1,4 (AUTHOR) jlee@ync.ac.kr
Publikováno v:
Polymers (20734360). Jun2023, Vol. 15 Issue 12, p2608. 11p.