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Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Mu...
The dataset used to train the DJINN models consists of the randomly sampled values used to generate the absorptivity spectra and emissivity spectra as inputs as well as the... -
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthe...
A neural network-based framework to optimize the perceptions simulated by the in silico retinal implant model pulse2percept. -
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks
The bipartite Sherrington-Kirkpatrick model is a mathematically tractable spin glass model, which is formally similar to a Restricted Boltzmann Machine (RBM) neural network. -
Training Dataset
The training dataset is a collection of the publicly available Arabic corpora listed below: The unshuffled OSCAR corpus (Ortiz Su´arez et al., 2020). The Arabic Wikipedia dump... -
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Post...
A large retrospective cohort of 43,943 adult patients undergoing 52,529 major inpatient surgeries. -
Various Datasets
The datasets used in the paper are described as follows: WikiMIA, BookMIA, Temporal Wiki, Temporal arXiv, ArXiv-1 month, Multi-Webdata, LAION-MI, Gutenberg. -
OSCAR Dataset
The dataset used in the paper is a large corpus of real-world programs for pre-training a neural network model to learn better code representation. -
ACE and Hi-Fi TTS datasets
The ACE and Hi-Fi TTS datasets are used to generate training, validation and test inputs for the audio splicing detection and localization task. -
SimpleQuestion dataset for Wikidata
The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
A new dataset of satellite observation-based global surface soil moisture cov...
Soil moisture is an important variable linking the atmosphere and the terrestrial ecosystems. However, long-term satellite monitoring of surface soil moisture is still lacking...