Decentralized clustering for node-variant graph filtering with graph diffusion LMS

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Incomplete labels are common in multi-task learning for biomedical applications due to several practical difficulties, e.g., expensive annotation efforts by experts, limit of data collection, different sources of data. A naive approach to enable joint lear ...

The synthesis of high-performance gas-sieving zeolitic film is challenging because it involves seeded secondary growth which is complex and difficult to reproduce. Additionally, expensive asymmetric inorganic porous supports are often needed for calcinatio ...

This study presents a self-supervised Bayesian Neural Network (BNN) framework using air-borne Acoustic Emission (AE) to identify different Laser Powder Bed Fusion (LPBF) process regimes such as Lack of Fusion, conduction mode, and keyhole without ground-tr ...

We conducted a comparative user study of the Infinadeck [1] omnidirectional treadmill native control algorithm alongside an approach based on a state observer control scheme combining a kinematic model with error dynamics that allows users to change their ...

Over the past decade, significant advancements have been made in the study of silicon nanowires (SiNWs). These nanoscaled devices can exhibit a memristive type of hysteresis in the current/voltage (I/V) plane that has been utilized in the biosensors leadin ...

BACKGROUND:The indication for mechanical thrombectomy (MT) in stroke patients with large vessel occlusion has been constantly expanded over the past years. Despite remarkable treatment effects at the group level in clinical trials, many patients remain sev ...

The Gm/ID approach has proven to be an efficient technique for the design of low-power analog circuits. Until now it was mostly demonstrated on older CMOS technology nodes. In this paper we will show that the Gm/ID methodology still holds for advanced tech ...

Graph Neural Networks (GNNs) have emerged as a powerful tool for learning on graphs, demonstrating exceptional performance in various domains. However, as GNNs become increasingly popular, new challenges arise. One of the most pressing is the need to ensur ...

Experimental data is imperative to characterize the behavior of materials used in structural analysis models. The aim of this data paper is to establish a database of material-scale uniaxial experiments, primarily conducted at EPFL, to assist with simulati ...

A closed-loop neuromodulation system, including an electrode array that is implantable to a brain of a subject, analog front-end device (AFD) for selectively selecting and reading a plurality of channels from electrode array, a finite impulse response (FIR ...

Decentralized clustering for node-variant graph filtering with graph diffusion LMS

Chattez avec Graph Search

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

Hydrogen-sieving zeolitic films by coating zeolite nanosheets on porous polymeric support

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

User study of omnidirectional treadmill control algorithms in VR

New Insights Into the I/V Hysteretic Characteristics of Memristive Biosensors

Preserved Corticospinal Tract Revealed by Acute Perfusion Imaging Relates to Better Outcome After Thrombectomy in Stroke

Design of Low-power Analog Circuits in Advanced Technology Nodes using the Gm/ID Approach

Privacy-Preserving Machine Learning on Graphs

Uniaxial Cyclic and Tensile Tests on Structural Metallic Materials

A multichannel versatile brain activity classification and closed loop neuromodulation system, device and method using a highly multiplexed mixed-signal front-end