Search Results for author: Benoit Miramond

Found 6 papers, 2 papers with code

Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model

no code implementations27 Jul 2023 Artem Muliukov, Laurent Rodriguez, Benoit Miramond

One of such modern tasks is recovering lost data of one modality by using the data from another one.

A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models

no code implementations6 Jan 2022 Artem R. Muliukov, Laurent Rodriguez, Benoit Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui

This work also demonstrates the distributed and scalable nature of the model through both simulation results and hardware execution on a dedicated FPGA-based platform named SCALP (Self-configurable 3D Cellular Adaptive Platform).

Multimodal Association

GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning

1 code implementation4 Sep 2020 Lyes Khacef, Vincent Gripon, Benoit Miramond

In this work, we consider the problem of post-labeled few-shot unsupervised learning, a classification task where representations are learned in an unsupervised fashion, to be later labeled using very few annotated examples.

Classification Clustering +4

Improving Self-Organizing Maps with Unsupervised Feature Extraction

1 code implementation4 Sep 2020 Lyes Khacef, Laurent Rodriguez, Benoit Miramond

We conduct a comparative study on the SOM classification accuracy with unsupervised feature extraction using two different approaches: a machine learning approach with Sparse Convolutional Auto-Encoders using gradient-based learning, and a neuroscience approach with Spiking Neural Networks using Spike Timing Dependant Plasticity learning.

Classification General Classification +2

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning

no code implementations11 Apr 2020 Lyes Khacef, Laurent Rodriguez, Benoit Miramond

The divergence mechanism is used to label one modality based on the other, while the convergence mechanism is used to improve the overall accuracy of the system.

Distributed Computing Multimodal Association

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