2 citations · 2 across the 2 of their papers we have counts for
5 papers
Iterative VAE as a predictive brain model for out-of-distribution generalization
Victor Boutin, Aimen Zerroug, Minju Jung +1
Our ability to generalize beyond training data to novel, out-of-distribution, image degradations is a hallmark of primate vision. The predictive brain, exemplified by predictive co…
5G Simulation-Based Experimentation Framework for Vertical Performance Assessment
Orestes Manzanilla-Salazar, Victor Boutin, Hakim Mellah +2
5G is being designed as a common platform where multiple vertical applications will be able to co-exist and grow in a seamless manner. The diversity of the vertical requirements as…
Effect of top-down connections in Hierarchical Sparse Coding
Victor Boutin, Angelo Franciosini, Franck Ruffier +1
Hierarchical Sparse Coding (HSC) is a powerful model to efficiently represent multi-dimensional, structured data such as images. The simplest solution to solve this computationally…
Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Victor Boutin, Angelo Franciosini, Frederic Chavane +2
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to process context-dependent information in the early…
From biological vision to unsupervised hierarchical sparse coding
Victor Boutin, Angelo Franciosini, Franck Ruffier +1
The formation of connections between neural cells is emerging essentially from an unsupervised learning process. For instance, during the development of the primary visual cortex o…