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The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains

The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains

30 May 2016
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
ArXivPDFHTML

Papers citing "The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains"

10 / 10 papers shown
Title
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Shuxian Ma
Zihao Dong
Runmin Cong
Sam Kwong
Xiuli Shao
41
0
0
23 May 2025
On Symmetries in Convolutional Weights
On Symmetries in Convolutional Weights
B. Alsallakh
Timothy Wroge
Vivek Miglani
Narine Kokhlikyan
97
0
0
24 Mar 2025
Discovering Chunks in Neural Embeddings for Interpretability
Discovering Chunks in Neural Embeddings for Interpretability
Shuchen Wu
Stephan Alaniz
Eric Schulz
Zeynep Akata
65
0
0
03 Feb 2025
Untrained Perceptual Loss for image denoising of line-like structures in MR images
Untrained Perceptual Loss for image denoising of line-like structures in MR images
Elisabeth Pfaehler
Daniel Pflugfelder
Hanno Scharr
38
0
0
08 Nov 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
89
1
0
01 Jul 2024
Reflective-Net: Learning from Explanations
Reflective-Net: Learning from Explanations
Johannes Schneider
Michalis Vlachos
FAtt
OffRL
LRM
70
18
0
27 Nov 2020
OpenGAN: Open Set Generative Adversarial Networks
OpenGAN: Open Set Generative Adversarial Networks
Luke Ditria
Benjamin J. Meyer
Tom Drummond
VLM
AI4CE
GAN
71
20
0
18 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
82
82
0
17 Mar 2020
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are
  Failing to Reproduce Spectral Distributions
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
Ricard Durall
Margret Keuper
J. Keuper
43
333
0
03 Mar 2020
Object Detectors Emerge in Deep Scene CNNs
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
ObjD
105
1,279
0
22 Dec 2014
1