output
20032020
most citedThe enzyme-like catalytic activity of cerium oxide nanoparticles and its dependency on Ce3+ surface area concentration

330 citations

Showing 2019Show all

11 papers · 1 filter

physics.bio-ph2019★ 7 cited

Fredholm theory for the mean first-passage time of integrate-and-fire oscillators with colored noise input

Carl van Vreeswijk, Farzad Farkhooi

We develop a method to investigate the effect of noise timescales on the first-passage time of nonlinear oscillators. Using Fredholm theory, we derive an exact integral equation fo…

math.GR2019★ 23 cited

Stationary characters on lattices of semisimple Lie groups

Rémi Boutonnet, Cyril Houdayer

We show that stationary characters on irreducible lattices of higher-rank connected semisimple Lie groups are conjugation invariant, that is, they are genuine characters. Th…

cs.NE2019★ 3 cited

Knowledge transfer in deep block-modular neural networks

Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan

Although deep neural networks (DNNs) have demonstrated impressive results during the last decade, they remain highly specialized tools, which are trained -- often from scratch -- t…

cs.AI2019

Learning abstract perceptual notions: the example of space

Alexander V. Terekhov, J. Kevin O'Regan

Humans are extremely swift learners. We are able to grasp highly abstract notions, whether they come from art perception or pure mathematics. Current machine learning techniques de…

hep-th2019★ 63 cited

Systematics of consistent truncations from generalised geometry

Davide Cassani, Gregoire Josse, Michela Petrini +1

We present a generalised geometry framework for systematically constructing consistent truncations of ten- and eleven-dimensional supergravity preserving varying fractions of super…

physics.bio-ph2019★ 14 cited

Mechanical characterization of cells and microspheres sorted by acoustophoresis with in-line resistive pulse sensing

Antoine Riaud, Anh L. P. Thai, Wei Wang +1

Resistive Pulse Sensing (RPS) is a key label-free technology to measure particles and single-cell size distribution. As a growing corpus of evidence supports that cancer cells exhi…

eess.IV2019★ 127 cited

DVDnet: A Fast Network for Deep Video Denoising

Matias Tassano, Julie Delon, Thomas Veit

In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Previous neural network based approaches to video denoi…

physics.soc-ph2019★ 5 cited

Morphological organization of point-to-point transport in complex networks

Min-Yeong Kang, Geoffroy Berthelot, Liubov Tupikina +4

We investigate the structural organization of the point-to-point electric, diffusive or hydraulic transport in complex scale-free networks. The random choice of two nodes, a source…

cs.DB2019★ 36 cited

End-to-End Entity Resolution for Big Data: A Survey

Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas +2

One of the most important tasks for improving data quality and the reliability of data analytics results is Entity Resolution (ER). ER aims to identify different descriptions that…

math.PR2019★ 12 cited

A system of interacting neurons with short term synaptic facilitation

Antonio Galves, Eva Löcherbach, Christophe Pouzat +1

In this paper we present a simple microscopic stochastic model describing short term plasticity within a large homogeneous network of interacting neurons. Each neuron is represente…

math.ST2019★ 12 cited

Bandwidth Selection for the Wolverton-Wagner Estimator

Fabienne Comte, Nicolas Marie

For independent random variables having the same Hölder continuous density, this paper deals with controls of the Wolverton-Wagner's estimator MSE and MISE. Then, for a bandwid…