output
20062026
most citedReal time decoherence of Landau and Levitov quasi-particles in quantum Hall edge channels

100 citations

Showing 2025Show all

8 papers · 1 filter

cs.LG2025

Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification

Adrien Lafage, Olivier Laurent, Firas Gabetni +1

Deep Neural Networks (DNNs) have demonstrated remarkable performance across various domains, including computer vision and natural language processing. However, they often struggle…

cs.AR2025★ 1 cited

Optimized Memory Tagging on AmpereOne Processors

Shivnandan Kaushik, Mahesh Madhav, Nagi Aboulenein +14

Memory-safety escapes continue to form the launching pad for a wide range of security attacks, especially for the substantial base of deployed software that is coded in pointer-bas…

math.AP2025

Propagation of weak log-concavity along generalised heat flows via Hamilton-Jacobi equations

Louis-Pierre Chaintron, Giovanni Conforti, Katharina Eichinger

A well-known consequence of the Pr{é}kopa-Leindler inequality is the preservation of logconcavity by the heat semigroup. Unfortunately, this property does not hold for more general…

math.OC2025

Convergence rates for regularized unbalanced optimal transport: the discrete case

Luca Nenna, Paul Pegon, Louis Tocquec

Unbalanced optimal transport (UOT) is a natural extension of optimal transport (OT) allowing comparison between measures of different masses. It arises naturally in machine learnin…

math.MG2025

Stability of optimal transport maps on Riemannian manifolds

Jun Kitagawa, Cyril Letrouit, Quentin Mérigot

We prove quantitative bounds on the stability of optimal transport maps and Kantorovich potentials from a fixed source measure under variations of the target measure , when…

physics.hist-ph2025

Revisiting the Einstein-de Haas experiment: the Amp{è}re Museum's hidden treasure

Alfonso San Miguel, Bernard Pallandre

Unearthed in the Amp{è}re Museum near Lyon, France, a genuine version of the Einstein-de Haas experiment apparatus offers a rare glimpse into Einstein's experimental interests. Thi…