output
20092025
most citedActive Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

451 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.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

Optimization of Workload Mapping and Scheduling in Scaling Heterogeneous HPC Systems: A Systematic Literature Review

Aasish Kumar Sharma, Julian Kunkel

The increasing heterogeneity of High-Performance Computing (HPC) systems, incorporating Central Processing Units (CPUs), Graphics Processing Units (GPUs), Field-Programmable Gate A…

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…

math.OC2025

An entropy penalized approach for stochastic optimization with marginal law constraints. Complete version

Thibaut Bourdais, Nadia Oudjane, Francesco Russo

This paper focuses on stochastic optimal control problems with constraints in law, which are rewritten as optimization (minimization) of probability measures problem on the canonic…

math.DG2025

Not all sub-Riemannian minimizing geodesics are smooth

Yacine Chitour, Frédéric Jean, Roberto Monti +4

A longstanding open question in sub-Riemannian geometry is the following: are sub-Riemannian length minimizers smooth? We give a negative answer to this question, exhibiting an exa…