output
20132025
most citedActive Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

451 citations

32 papers

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.CR2025

Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique

Yanming Li, Cédric Eichler, Nicolas Anciaux +3

We propose a system for marking sensitive or copyrighted texts to detect their use in fine-tuning large language models under black-box access with statistical guarantees. Our meth…

math.NA2025

A robust computational framework for the mixture-energy-consistent six-equation two-phase model with instantaneous mechanical relaxation terms

Giuseppe Orlando, Ward Haegeman, Marica Pelanti +1

We present a robust computational framework for the numerical solution of a hyperbolic 6-equation single-velocity two-phase system. The system's main interest is that, when combine…

math.PR2025

McKean-Vlasov equations with singular coefficients - a review of recent results

Luca Bondi, Elena Issoglio, Francesco Russo

This paper focuses on recent works on McKean-Vlasov stochastic differential equations (SDEs) involving singular coefficients. After recalling the classical framework, we review exi…

cs.DC2025★ 20 cited

A Review of Tools and Techniques for Optimization of Workload Mapping and Scheduling in Heterogeneous HPC System

Aasish Kumar Sharma, Julian Kunkel

This paper presents a systematic review of mapping and scheduling strategies within the High-Performance Computing (HPC) compute continuum, with a particular emphasis on heterogene…

math.PR2025

-It{ô} chain rules and generalized solutions of parabolic PDEs

Carlo Ciccarella, Francesco Russo

In this paper we first establish an Itô formula for a finite quadratic variation process expanding when is of class in space and is absolutely continuous…