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Iterative VAE as a predictive brain model for out-of-distribution
  generalization

Iterative VAE as a predictive brain model for out-of-distribution generalization

1 December 2020
Victor Boutin
Aimen Zerroug
Minju Jung
Thomas Serre
    OOD
ArXiv (abs)PDFHTML

Papers citing "Iterative VAE as a predictive brain model for out-of-distribution generalization"

4 / 4 papers shown
Predictive Coding Networks and Inference Learning: Tutorial and Survey
Predictive Coding Networks and Inference Learning: Tutorial and Survey
B. V. Zwol
Ro Jefferson
E. V. D. Broek
454
5
0
04 Jul 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing
  Tasks
Latent Representation Matters: Human-like Sketches in One-shot Drawing TasksNeural Information Processing Systems (NeurIPS), 2024
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
497
2
0
10 Jun 2024
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of
  Segmentation and Grouping
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and GroupingInternational Conference on Machine Learning (ICML), 2023
Vincent Mallet
Zhengqing Wu
M. Ovsjanikov
319
5
0
28 Sep 2023
Diversity vs. Recognizability: Human-like generalization in one-shot
  generative models
Diversity vs. Recognizability: Human-like generalization in one-shot generative modelsNeural Information Processing Systems (NeurIPS), 2022
Victor Boutin
Lakshya Singhal
Xavier Thomas
Thomas Serre
282
12
0
20 May 2022
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