output
20082026
most citedClassical Mathematical Models for Description and Prediction of Experimental Tumor Growth

612 citations

206 papers

cs.HC2026★ 1 cited

A Multiliteracy Model for Interactive Visualization Literacy: Definitions, Literacies, and Steps for Future Research

Gabriela Molina León, Benjamin Bach, Matheus Valentim +1

This paper presents a theoretical model for interactive visualization literacy to describe how people use interactive data visualizations and systems. Literacies have become an imp…

math.ST2025

On the Private Estimation of Smooth Transport Maps

Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes +1

Estimating optimal transport maps between two distributions from respective samples is an important element for many machine learning methods. To do so, rather than extending discr…

cs.LG2024

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting

Mohamed Salim Aissi, Clement Romac, Thomas Carta +5

Reinforcement learning (RL) is a promising approach for aligning large language models (LLMs) knowledge with sequential decision-making tasks. However, few studies have thoroughly…

cs.HC2024★ 1 cited

Envisioning Situated Visualizations of Environmental Footprints in an Urban Environment

Yvonne Jansen, Federica Bucchieri, Pierre Dragicevic +7

We present the results of a brainstorming exercise focused on how situated visualizations could be used to better understand the state of the environment and our personal behaviora…

math.NT2024

Computing modular polynomials by deformation

Sabrina Kunzweiler, Damien Robert

We present an unconditional CRT algorithm to compute the modular polynomial in quasi-linear time. The main ingredients of our algorithm are: the embedding of -i…

math.OC2024

A New Branch-and-Bound Pruning Framework for -Regularized Problems

Theo Guyard, Cédric Herzet, Clément Elvira +1

We consider the resolution of learning problems involving -regularization via Branch-and-Bound (BnB) algorithms. These methods explore regions of the feasible space of the…