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Published April 10, 2020 | Version v1

Roundtrip: a deep generative neural density estimator

Authors/Creators

  • 1. Stanford University

Description

Datasets used in Roundtrip paper. (https://arxiv.org/abs/2004.09017)

UCI datasets:

AReM/data.npy: Activity Recognition data collected from Multi sensors. Data size (42239, 6)

CASP/data.npy: Protein Tertiary Structure data.  Data size (45730, 9)

BANK/data.npy: Financial data collected from clients. Data size (45211, 17)

YPMSD/data.npy: Audio data of various songs. Data size (515345,90)

HEPMASS/train.csv and HEPMASS/test.csv: Data of high-energy particles. 

OOD contains three outlier detection datasets Shuttle, Mammography and ForestCover.

Files

Files (628.9 MB)

Name Size
md5:6cd384c4c4ddfa63876282d192b5a998
386.8 kB Download
md5:c6a2f0f47b99bab93838528e0f5603bc
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md5:ec02430fb4e7a18c6f321e67ffbdaa95
2.7 MB Download
md5:9bceac18175a450a2938ac60c787890d
261.1 MB Download
md5:6f0563756b50def5ebdeea522d6589a9
10.6 MB Download
md5:6e2bfc0b3744e225c9eef2c5113af794
348.3 MB Download