5 papers
Anomalously high quasiparticle thermal conductivity in the underdoped cuprate superconductor HgBaCuO
Jordan Baglo, Quentin Barthélemy, Ãtienne Lefrançois +4
The single-layer cuprate superconductor HgBaCuO (Hg1201) is an ideal candidate for investigating many properties of cuprates with minimal disorder and without the co…
Equivariant Splitting: Self-supervised learning from incomplete data
Victor Sechaud, Jérémy Scanvic, Quentin Barthélemy +2
Self-supervised learning for inverse problems allows to train a reconstruction network from noise and/or incomplete data alone. These methods have the potential of enabling learnin…
UNet-AF: An alias-free UNet for image restoration
Jérémy Scanvic, Quentin Barthélemy, Julián Tachella
The simplicity and effectiveness of the UNet architecture makes it ubiquitous in image restoration, image segmentation, and diffusion models. They are often assumed to be equivaria…
Thermal Hall conductivity in the strongest cuprate superconductor: Estimate of the mean free path in the trilayer cuprate HgBaCaCuO
Munkhtuguldur Altangerel, Quentin Barthélemy, Ãtienne Lefrançois +12
The thermal Hall conductivity of the trilayer cuprate HgBaCaCuO (Hg1223) - the superconductor with the highest critical temperature at ambient pressure -…
Translation-Equivariance of Normalization Layers and Aliasing in Convolutional Neural Networks
Jérémy Scanvic, Quentin Barthélemy, Julián Tachella
The design of convolutional neural architectures that are exactly equivariant to continuous translations is an active field of research. It promises to benefit scientific computing…