Next meeting:
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Total votes:
4
(last vote was 1 year ago)
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Total votes:
2
(last vote was 1 year ago)
Title:
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Total votes:
2
(last vote was 1 year ago)
Author:
Discussion leader:
Nobody volunteered yet
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Total votes:
1
(last vote was 6 months ago)
Author:
Claudio Andrea Manzari, Yujin Park, Benjamin R. Safdi, Inbar Savoray
Discussion leader:
Nobody volunteered yet
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Total votes:
1
(last vote was 1 year ago)
Title:
Author:
David Alesini, Danilo Babusci, Paolo Beltrame, Fabio Bossi, Paolo Ciambrone, Alessandro D'Elia, Daniele Di Gioacchino, Giampiero Di Pirro et al.
Discussion leader:
Nobody volunteered yet
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Total votes:
1
(last vote was 1 year ago)
Title:
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Total votes:
1
(last vote was 1 year ago)
Author:
Florian Goertz, Álvaro Pastor-Gutiérrez
Discussion leader:
Nobody volunteered yet
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6 years ago
Title: Electromagnetic emission from axionic clouds and the quenching of superradiant instabilities
Link: https://arxiv.org/pdf/1811.04950.pdf
Description:
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Votes: 4
6 years ago Author:
Daniel G. Figueroa, Erwin H. Tanin
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Votes: 1
6 years ago
Title:
Micro black holes formed in the early Universe and their cosmological
implications
(View PDF)
Author:
Tomohiro Nakama, Jun'ichi Yokoyama
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6 years ago
Title: Quantized Back-Propagation: Training Binarized Neural Networks with Quantized Gradients
Link: https://openreview.net/pdf?id=Bye10KkwG
Description: Binarized Neural networks (BNNs) have been shown to be effective in improving network efficiency during the inference phase, after the network has been trained. However, BNNs only binarize the model parameters and activations during propagations.
We show there is no inherent difficulty in training BNNs using "Quantized BackPropagation" (QBP), in which we also quantized the error gradients and in the extreme case ternarize them. To avoid significant degradation in test accuracy, we apply stochastic ternarization and increase the number of filter maps in a each convolution layer. Using QBP has the potential to significantly improve the execution efficiency (\emph{e.g.}, reduce dynamic memory footprint and computational energy and speed up the training process, even after such an increase in network size.
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6 years ago
Title: GRRMHD Simulations of Tidal Disruption Event Accretion Disks around Supermassive Black Holes: Jet Fo
Link: https://arxiv.org/abs/1811.06971
Description:
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Votes: 3
6 years ago Author:
N. Bartolo, V. De Luca, G. Franciolini, A. Lewis, M. Peloso, A. Riotto
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Votes: 4
6 years ago Author:
A. Weltman, P. Bull, S. Camera, K. Kelley, H. Padmanabhan, J. Pritchard, A Raccanelli, S. Riemer-Sørensen et al.
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Votes: 1
6 years ago Author:
Torsten Bringmann, Maxim Pospelov
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Votes: 3
6 years ago
Title:
First Cosmological Results using Type Ia Supernovae from the Dark Energy
Survey: Measurement of the Hubble Constant
(View PDF)
Author:
E. Macaulay, R. C. Nichol, D. Bacon, D. Brout, T. M. Davis, B. Zhang, B. A. Bassett, D. Scolnic et al.
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Votes: 1
6 years ago Author: |