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Found 8 papers, 8 papers with code
Compression of Recurrent Neural Networks using Matrix Factorization
Compressing neural networks is a key step when deploying models for real-time or embedded applications.
TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks
These models are given real data, simulated data or combination of both and are trained to be highly predictive on them.
Generative Adversarial Network
Out of Distribution (OOD) Detection
The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Baryon acoustic oscillations with Lyman-$α$ forests
We present a measurement of baryonic acoustic oscillations (BAO) from Lyman-$\alpha$ (Ly$\alpha$) absorption and quasars at an effective redshift $z=2. 33$ using the complete extended Baryonic Oscillation Spectroscopic Survey (eBOSS).
Cosmology and Nongalactic Astrophysics
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR16 luminous red galaxy and emission line galaxy samples: cosmic distance and structure growth measurements using multiple tracers in configuration space
We perform a multi-tracer analysis using the complete Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) DR16 luminous red galaxy (LRG) and the DR16 emission line galaxy (ELG) samples in the configuration space, and successfully detect a cross correlation between the two samples, and find the growth rate to be $f\sigma_8=0. 342 \pm 0. 085$ ($\sim25$ per cent accuracy) from the cross sample alone.
Cosmology and Nongalactic Astrophysics
The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the BAO and growth rate of structure of the luminous red galaxy sample from the anisotropic correlation function between redshifts 0.6 and 1
We present the cosmological analysis of the configuration-space anisotropic clustering in the completed Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) DR16 galaxy sample.
Cosmology and Nongalactic Astrophysics
A light neural network for modulation detection under impairments
We present a neural network architecture able to efficiently detect modulation scheme in a portion of I/Q signals.
Exploring cosmic homogeneity with the BOSS DR12 galaxy sample
Defining the scale of transition to homogeneity as the scale at which $\mathcal{D}_2(r)$ reaches 3 within $1\%$, i. e. $\mathcal{D}_2(r)>2. 97$ for $r>\mathcal{R}_H$, we find $\mathcal{R}_H = (63. 3\pm0. 7) \ h^{-1}\ \mathrm{Mpc}$, in agreement at the percentage level with the predictions of the $\Lambda$CDM model $\mathcal{R}_H=62. 0\ h^{-1}\ \mathrm{Mpc}$.
Cosmology and Nongalactic Astrophysics
A 14 $h^{-3}$ Gpc$^3$ study of cosmic homogeneity using BOSS DR12 quasar sample
For the matter distribution we obtain $3-\langle D_2 \rangle < 5 \times 10^{-5}$ (2 $\sigma$) over the range $250<r<1200 \, h^{-1}$Mpc, consistent with homogeneity on large scales.
Cosmology and Nongalactic Astrophysics
