Risser, Laurent

1. A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
   2020/03/31 by Philippe Besse, Besse, Philippe, Eustasio del Barrio +7 · 8 citations
   Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Computers and Society (cs.CY) #FOS: Computer and information sciences #Income, Poverty, and Inequality #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
2. COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
   2023/05/11 by Fanny Jourdan, Agustin Martin Picard, Jourdan, Fanny +9 · 6 citations
   Computer Science · Materials Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning in Materials Science #Topic Modeling
3. Transport-based Counterfactual Models
   2021/08/30 by de Lara, Lucas, González-Sanz, Alberto, Asher, Nicholas +7 · 4 citations
   Computer Science · Mathematics · Neuroscience · Social Sciences · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Psychology of Moral and Emotional Judgment
4. Tackling Algorithmic Bias in Neural-Network Classifiers using\n Wasserstein-2 Regularization
   2019/08/15 by Laurent Risser, Risser, Laurent, Sanz, Alberto Gonzalez +4 · 3 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Physics-informed Variational Autoencoders for Improved Robustness to Environmental Factors of Variation
   2022/10/19 by Romain Thoreau, Thoreau, Romain, Laurent Risser +7 · 2 citations
   Engineering · Computer Science · #Remote-Sensing Image Classification #Image Retrieval and Classification Techniques #Computational Physics and Python Applications
6. Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques
   2023/11/15 by Romain Thoreau, Laurent Risser, Thoreau, Romain +7 · 2 citations
   Engineering · Earth and Planetary Sciences · Chemistry · #Remote-Sensing Image Classification #Remote Sensing and Land Use #Spectroscopy and Chemometric Analyses
7. Explaining Machine Learning Models using Entropic Variable Projection
   2018/10/18 by Bachoc, François, Gamboa, Fabrice, Halford, Max +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Debiasing Machine Learning Models by Using Weakly Supervised Learning
   2024/02/23 by Renan Brotto, Brotto, Renan D. B., Jean–Michel Loubes +9 · 1 citation
   Computer Science · #68T05 #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
9. TaCo: Targeted Concept Erasure Prevents Non-Linear Classifiers From Detecting Protected Attributes
   2023/12/11 by Jourdan, Fanny, Béthune, Louis, Picard, Agustin +2 · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML)
10. Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone
    2025/07/15 by Veronika Shilova, Emmanuel Malherbe, Shilova, Veronika +7 · 2 citations
    Computer Science · Materials Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Machine Learning (cs.LG) #Textile materials and evaluations