output
20042026
most citedPhotoluminescent diamond nanoparticles for cell labeling: study of the uptake mechanism in mammalian cells

332 citations

Showing 2024Show all

13 papers · 1 filter

cs.RO2024

An indoor DSO-based ceiling-vision odometry system for indoor industrial environments

Abdelhak Bougouffa, Emmanuel Seignez, Samir Bouaziz +1

Autonomous Mobile Robots operating in indoor industrial environments require a localization system that is reliable and robust. While Visual Odometry (VO) can offer a reasonable es…

stat.ML2024

Zero-shot Model-based Reinforcement Learning using Large Language Models

Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat +6

The emerging zero-shot capabilities of Large Language Models (LLMs) have led to their applications in areas extending well beyond natural language processing tasks. In reinforcemen…

quant-ph2024★ 8 cited

Subspace Preserving Quantum Convolutional Neural Network Architectures

Léo Monbroussou, Jonas Landman, Letao Wang +2

Subspace preserving quantum circuits are a class of quantum algorithms that, relying on some symmetries in the computation, can offer theoretical guarantees for their training. Tho…

cs.FL2024

Attractor Basins in Concurrent Systems

Giann Karlo Aguirre Samboni, Stefan Haar, Loic Paulevé +2

A crucial question in analyzing a concurrent system is to determine its long-run behaviour, and in particular, whether there are irreversible choices in its evolution, leading into…

gr-qc2024★ 1 cited

n-dimensional Weyl conformal tensor in a 4-index gravitational field theory

Frédéric Moulin

The Weyl conformal tensor is the traceless component of the Riemann tensor and therefore, as is known, the information it contains does not appear explicitly in Einstein's equation…

cs.LG2024★ 2 cited

Leveraging Graph Neural Networks to Forecast Electricity Consumption

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude +1

Accurate electricity demand forecasting is essential for several reasons, especially as the integration of renewable energy sources and the transition to a decentralized network pa…

cs.LO2024★ 2 cited

Braids, twists, trace and duality in combinatory algebras

Masahito Hasegawa, Serge Lechenne

We investigate a class of combinatory algebras, called ribbon combinatory algebras, in which we can interpret both the braided untyped linear lambda calculus and framed oriented ta…

gr-qc2024★ 24 cited

Tidal Love Numbers from EFT of Black Hole Perturbations with Timelike Scalar Profile

Chams Gharib Ali Barura, Hajime Kobayashi, Shinji Mukohyama +3

We study static tidal Love numbers (TLNs) of a static and spherically symmetric black hole for odd-parity metric perturbations. We describe black hole perturbations using the effec…

cs.AI2024★ 8 cited

The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action

Hilde Weerts, Raphaële Xenidis, Fabien Tarissan +2

Various metrics and interventions have been developed to identify and mitigate unfair outputs of machine learning systems. While individuals and organizations have an obligation to…

cs.LG2024★ 17 cited

Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics

Fanny Lehmann, Filippo Gatti, Didier Clouteau

Numerical simulations are essential tools to evaluate the solution of the wave equation in complex settings, such as three-dimensional (3D) domains with heterogeneous properties. H…

cs.CL2024

Sequence-to-Sequence Language Models for Character and Emotion Detection in Dream Narratives

Gustave Cortal

The study of dreams has been central to understanding human (un)consciousness, cognition, and culture for centuries. Analyzing dreams quantitatively depends on labor-intensive, man…

cond-mat.supr-con2024★ 6 cited

Tuning of Charge Order by Uniaxial Stress in a Cuprate Superconductor

Laure Thomarat, Frank Elson, Elisabetta Nocerino +12

Strongly correlated electron materials are often characterized by competition and interplay of multiple quantum states. For example, in high-temperature cuprate superconductors unc…

cs.CV2024

Character Recognition in Byzantine Seals with Deep Neural Networks

Théophile Rageau, Laurence Likforman-Sulem, Attilio Fiandrotti +3

Seals are small coin-shaped artifacts, mostly made of lead, held with strings to seal letters. This work presents the first attempt towards automatic reading of text on Byzantine s…