39 citations
- University of Southern CaliforniaUS2 papers
- Arizona State UniversityUS1 paper
- Drexel UniversityUS1 paper
- Institut de Biologie Intégrative de la CelluleFR1 paper
- Institut Élie Cartan de LorraineFR1 paper
- Institut FourierFR1 paper
- Network Technologies (United States)US1 paper
- Systems and Technology Research (United States)US1 paper
- United States Air Force Office of Scientific ResearchUS1 paper
- United States Department of Homeland SecurityUS1 paper
- Université de LorraineFR1 paper
- University of Massachusetts AmherstUS1 paper
10 papers
SCMD: A Kernel-Based Distance for Structural Causal Models to Quantify Transferability Across Environments
Théotime Le Goff, Émilie Devijver
Out-of-distribution generalization is key to building models that remain reliable across diverse environments. Recent causality-based methods address this challenge by learning inv…
Synthetic Audio Forensics Evaluation (SAFE) Challenge
Kirill Trapeznikov, Paul Cummer, Pranay Pherwani +6
The increasing realism of synthetic speech generated by advanced text-to-speech (TTS) models, coupled with post-processing and laundering techniques, presents a significant challen…
VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Mohammed Almutairi, Charles Chiang, Haoze Guo +9
Simulating how team members collaborate within complex environments using Agentic AI is a promising approach to explore hypotheses grounded in social science theories and study tea…
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions
Chan Young Park, Shuyue Stella Li, Hayoung Jung +4
This study introduces ValueScope, a framework leveraging language models to quantify social norms and values within online communities, grounded in social science perspectives on n…
Ensembles of Probabilistic Regression Trees
Alexandre Seiller, Éric Gaussier, Emilie Devijver +2
Tree-based ensemble methods such as random forests, gradient-boosted trees, and Bayesianadditive regression trees have been successfully used for regression problems in many applic…
Stable network inference in high-dimensional graphical model using single-linkage
Emilie Devijver, Rémi Molinier, Mélina Gallopin
Stability, akin to reproducibility, is crucial in statistical analysis. This paper examines the stability of sparse network inference in high-dimensional graphical models, where se…