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Learning Invariances for Interpretability using Supervised VAE

Learning Invariances for Interpretability using Supervised VAE

15 July 2020
An-phi Nguyen
María Rodríguez Martínez
    DRL
ArXiv (abs)PDFHTML

Papers citing "Learning Invariances for Interpretability using Supervised VAE"

1 / 1 papers shown
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous
  Driving with a Variational Autoencoder
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational AutoencoderIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Anass Bairouk
Mirjana Maras
Simon Herlin
Alexander Amini
Marc Blanchon
Ramin Hasani
Patrick Chareyre
Daniela Rus
239
6
0
02 Apr 2024
1
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