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10/15/2021
A Neural Network Ensemble Approach to System Identification
We present a new algorithm for learning unknown governing equations from...
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04/17/2021
Emergence of Lie symmetries in functional architectures learned by CNNs
In this paper we study the spontaneous development of symmetries in the ...
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09/07/2020
System Identification Through Lipschitz Regularized Deep Neural Networks
In this paper we use neural networks to learn governing equations from d...
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11/14/2019
LGN-CNN: a biologically inspired CNN architecture
In this paper we introduce a biologically inspired CNN architecture that...
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10/18/2019
KerCNNs: biologically inspired lateral connections for classification of corrupted images
The state of the art in many computer vision tasks is represented by Con...
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06/08/2019
Neurogeometry of perception: isotropic and anisotropic aspects
In this paper we first recall the definition of geometical model of the ...
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08/29/2016
Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images
Tree-like structures such as retinal images are widely studied in comput...
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12/21/2015
Local and global gestalt laws: A neurally based spectral approach
A mathematical model of figure-ground articulation is presented, taking ...
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07/02/2014
Cortical spatio-temporal dimensionality reduction for visual grouping
The visual systems of many mammals, including humans, is able to integra...
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06/02/2014
