Latest

18
Jul

Functional Principal Component Analysis

‪Frédéric PROTIN Mathematician, Torus AI, PhD July 6th, 2023 Abstract Functional PCA is a generalization of the PCA method of
18
Jul
A Bayesian Framework for Multivariate Multifractal Analysis of Signals and Images

A Bayesian Framework for Multivariate Multifractal Analysis of Signals and Images

Lorena LEON Institut de Recherche en Informatique de Toulouse (IRIT), Université de Toulouse January 26th, 2023 Abstract This talk introduces
18
Jul

From Dilated Convolution With Learnable Spacings to Gaussian Mixture Kernel Convolution

Ismail KHALFAOUI HASSANI‌‌ PhD student at ANITI ‌‌November 10th, 2022 Abstract‌‌ Recent works indicate that convolutional neural networks (CNN) need
1 min read
12
Jul
Reconstructing Natural Scenes from fMRI Patters Using Deep Generative Networks

Reconstructing Natural Scenes from fMRI Patters Using Deep Generative Networks

Milad MOZAFARI Research Scientist at Torus AI November 10th, 2022 Abstract Decoding and reconstructing images from brain imaging data is
1 min read
10
Jul
“Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture”, the latest paper from Yann Lecun’s team at Meta

“Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture”, the latest paper from Yann Lecun’s team at Meta

#ComputerVision #Self-SupervisedLearning #SSL #RepresentationLearning #I-JEPA Introduction I-JEPA [1], the latest self-supervised model from Meta AI, has been officially released: the
4 min read
06
Jul
DeepXplore: Unleashing the Power of Automated Whitebox Testing for Deep Learning Systems

DeepXplore: Unleashing the Power of Automated Whitebox Testing for Deep Learning Systems

https://arxiv.org/abs/1705.06640 Authors: Kexin Pei, Yinzhi Cao , Junfeng Yang, Suman Jana Introduction DL systems often exhibit
3 min read
30
Jun
EfficientNetV2: Smaller Models & Faster Training

EfficientNetV2: Smaller Models & Faster Training

#CNN #EfficientNet #model scaling #progressive learning Model scaling EfficientNet was first proposed in the original paper of Mingxing Tan &
3 min read
19
Jun
Depth Map

Depth Map

A depth map is a heatmap of a picture, which indicates the distance relative to the camera. It contains fundamental
4 min read
19
Jun
Unsupervised Learning in Spiking Neural Networks

Unsupervised Learning in Spiking Neural Networks

Introduction Spiking neural networks (SNNs) are computational models inspired by the biological behavior of neurons in the brain. These networks
4 min read
07
Jun
Overview of Self Supervised Learning

Overview of Self Supervised Learning

Introduction In this blog post, we’ll explore the concept of self-supervised learning, its potential for pushing AI toward human-level
14 min read