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Autoencoders
RaVAEn: Unsupervised Change Detection of Extreme Events Using ML On-Board Satellites
Applications such as disaster management enormously benefit from rapid availability of satellite observations. Traditionally, data …
Vít Růžička
,
Anna Vaughan
,
Daniele De Martini
,
James Fulton
,
Valentina Salvatelli
,
Chris Bridges
,
Gonzalo Mateo-Garcia
,
Valentina Zantedeschi
Nature Scientific Reports, 2022.
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Code
Hierarchical Importance Weighted Autoencoders
Importance weighted variational inference (Burda et al., 2015) uses multiple i.i.d. samples to have a tighter variational lower bound. …
Chin-Wei Huang
,
Kris Sankaran
,
Eeshan Dhekane
,
Alexandre Lacoste
,
Aaron Courville
International Conference on Machine Learning (ICML), 2019.
PDF
Citation
Code
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation
This article proposes Adversarially-Trained Normalized Noisy-Feature Auto-Encoder (ATNNFAE) for byte-level text generation. An ATNNFAE …
Xiang Zhang
,
Yann LeCun
ArXiv, 2018.
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