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Publications associées (201)
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
Alexandre Massoud Alahi, Mohamed Ossama Ahmed Abdelfattah, Mariam Ahmed Mahmoud Hegazy Hassan
Current transformer-based skeletal action recognition models tend to focus on a limited set of joints and low-level motion patterns to predict action classes. This results in significant performance degradation under small skeleton perturbations or changin ...
2024FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems
David Atienza Alonso, Amir Aminifar, Alireza Amirshahi, José Angel Miranda Calero, Jonathan Dan
The rapid development of wearable biomedical systems now enables real-time monitoring of electroencephalography (EEG) signals. Acquisition of these signals relies on electrodes. These systems must meet the design challenge of selecting an optimal set of el ...
2024Physical and unphysical regimes of self-consistent many-body perturbation theory
In the standard framework of self-consistent many-body perturbation theory, the skeleton series for the self-energy is truncated at a finite order N and plugged into the Dyson equation, which is then solved for the propagator G(N). We consider two examples ...
Scipost Foundation2024Correspondence functors and duality
A correspondence functor is a functor from the category of finite sets and correspondences to the category of k-modules, where k is a commutative ring. By means of a suitably defined duality, new correspondence functors are constructed, having remarkable p ...
ACADEMIC PRESS INC ELSEVIER SCIENCE2023Early decoding of walking tasks with minimal set of EMG channels
Silvestro Micera, Francesco Iberite, Federica Barberi, Eugenio Anselmino
Objective. Powered lower-limb prostheses relying on decoding motor intentions from non-invasive sensors, like electromyographic (EMG) signals, can significantly improve the quality of life of amputee subjects. However, the optimal combination of high decod ...
IOP Publishing Ltd2023Positive Definite Completions and Continuous Graphical Models
This thesis concerns the theory of positive-definite completions and its mutually beneficial connections to the statistics of function-valued or continuously-indexed random processes, better known as functional data analysis. In particular, it dwells upon ...
EPFL2023Range-separated hybrid functionals for accurate prediction of band gaps of extended systems
Alfredo Pasquarello, Stefano Falletta, Jing Yang
In this work, we systematically evaluate the accuracy in band gap prediction of range-separated hybrid functionals on a large set of semiconducting and insulating materials and carry out comparisons with the performance of their global counterparts. We obs ...
NATURE PORTFOLIO2023Neuromodulation of neocortical microcircuitry: a multi-scale framework to model the effects of cholinergic release
Neuromodulation of neocortical microcircuits is one of the most fascinatingand mysterious aspects of brain physiology. Despite over a century of research,the neuroscientific community has yet to uncover the fundamentalbiological organizing principles under ...
EPFL2022Annihilation Filter Approach For Estimating Graph Dynamics From Diffusion Processes
Pascal Frossard, Arun Venkitaraman
We propose an approach for estimating graph diffusion processes using annihilation filters from a finite set of observations of the diffusion process made at regular intervals. Our approach is based on the key observation that a graph diffusion process can ...
IEEE2022