17 datasets found

A mathematical model of the fundamental roots of learning mechanisms within the brain of Caenorhabditis elegans.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of datasets from the scikit-learn library and the UCI machine...

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data

QUOTIENT: Two-Party Secure Neural Network Training and Prediction

The dataset used in this paper is a collection of spike train data from a leakage integrate-and-fire (LIF) neuron model. The data is generated by applying different pulse inputs...

Global Neural CCG Parsing with Optimality Guarantees

SCAN is a semantic parsing dataset of natural language navigation commands that are mapped to corresponding action sequences.

Synthetic dataset for learning causal models using neural networks.

Radar signal deinterleaving dataset based on semantic segmentation with neural network

The dataset is used to test the proposed tree-structured recurrent switching linear dynamical systems (TrSLDS) model.

The dataset is used to test the proposed tree-structured recurrent switching linear dynamical systems (TrSLDS) model.

The dataset is used to study the size and width of autoencoders consisting of Boolean threshold functions.

The dataset used in this paper is a synthetic neural data generated using the Arneodo system.

The dataset used in this paper is a simulated dataset with 200 variables and 50 observations. The variables are generated from a multivariate normal distribution with a...

Linear error-correcting codes embedded in associative content-addressable memory networks.

Neural variational inference for text processing.

A dataset of 200 samples with 1283 resolution, generated using VGrain software with a regularity of 0.73 and uniform random orientation