Publications associées à Fonction de base radiale

A new variable shape parameter strategy for RBF approximation using neural networks

The choice of the shape parameter highly effects the behaviour of radial basis function (RBF) approximations, as it needs to be selected to balance between the ill-conditioning of the interpolation matrix and high accuracy. In this paper, we demonstrate ho ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Proximal Point Imitation Learning

Volkan Cevher, Luca Viano, Igor Krawczuk, Angeliki Kamoutsi

This work develops new algorithms with rigorous efficiency guarantees for infinite horizon imitation learning (IL) with linear function approximation without restrictive coherence assumptions. We begin with the minimax formulation of the problem and then o ...

2022

Learning of Continuous and Piecewise-Linear Functions With Hessian Total-Variation Regularization

Michaël Unser, Shayan Aziznejad, Joaquim Gonçalves Garcia Barreto Campos

We develop a novel 2D functional learning framework that employs a sparsity-promoting regularization based on second-order derivatives. Motivated by the nature of the regularizer, we restrict the search space to the span of piecewise-linear box splines shi ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Selective attention involves a feature-specific sequential release from inhibitory gating

David Pascucci, Gijs Plomp

Selective attention is a fundamental cognitive mechanism that allows our brain to preferentially process relevant sensory information, while filtering out distracting information. Attention is thought to flexibly gate the communication of irrelevant inform ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Multiscale Representation Learning of Graph Data With Node Affinity

Pascal Frossard, Chenglin Li, Xing Gao

Graph neural networks have emerged as a popular and powerful tool for learning hierarchical representation of graph data. In complement to graph convolution operators, graph pooling is crucial for extracting hierarchical representation of data in graph neu ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Evidence accumulation relates to perceptual consciousness and monitoring

Olaf Blanke, Fosco Bernasconi, Mi Xue Tan, Nathan Quentin Faivre, Michael Eric Anthony Pereira, Wenwen Chang

A fundamental scientific question concerns the neural basis of perceptual consciousness and perceptual monitoring resulting from the processing of sensory events. Although recent studies identified neurons reflecting stimulus visibility, their functional r ...

2021

On evaluation of thermophysical properties of transformer oil-based nanofluids: A comprehensive modeling and experimental study

Mohsen Talebkeikhah, Farzaneh Talebkeikhah

Transformer oil-based nanofluids are known to have higher thermal conductivity and heat transfer performance compared to conventional transformer oils. In this study, four different types of transformer oil-based nanofluids are synthesized using the well-k ...

ELSEVIER2020

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Mohsen Talebkeikhah, Farzaneh Talebkeikhah, Mohammad Torkashvand

This study evaluates and compares several machine learning methods on the effects of different parameters in lead adsorption capacity. pH, contact time, adsorbent dosage and initial lead concentration were considered as inputs and adsorption capacity was r ...

TAYLOR & FRANCIS LTD2020

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Fonction de base radiale

A new variable shape parameter strategy for RBF approximation using neural networks

A Theory of Finite-Width Neural Networks: Generalization, Scaling Laws, and the Loss Landscape

Proximal Point Imitation Learning

Learning of Continuous and Piecewise-Linear Functions With Hessian Total-Variation Regularization

Selective attention involves a feature-specific sequential release from inhibitory gating

Theory of Deep Learning: Neural Tangent Kernel and Beyond

Multiscale Representation Learning of Graph Data With Node Affinity

Evidence accumulation relates to perceptual consciousness and monitoring

On evaluation of thermophysical properties of transformer oil-based nanofluids: A comprehensive modeling and experimental study

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Graph Chatbot

Chattez avec Graph Search

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Multiscale Representation Learning of Graph Data With Node Affinity

Theory of Deep Learning: Neural Tangent Kernel and Beyond

A new variable shape parameter strategy for RBF approximation using neural networks

Learning of Continuous and Piecewise-Linear Functions With Hessian Total-Variation Regularization

Evidence accumulation relates to perceptual consciousness and monitoring

A Theory of Finite-Width Neural Networks: Generalization, Scaling Laws, and the Loss Landscape

Selective attention involves a feature-specific sequential release from inhibitory gating

Proximal Point Imitation Learning

On evaluation of thermophysical properties of transformer oil-based nanofluids: A comprehensive modeling and experimental study