Charlotte Laclau

1. A Survey on Fairness for Machine Learning on Graphs
   2022/05/11 by Charlotte Laclau, Christine Largeron, Laclau, Charlotte +3 · 6 citations
   Computer Science · Social Sciences · #Advanced Graph Neural Networks #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. All of the Fairness for Edge Prediction with Optimal Transport
   2020/10/30 by Charlotte Laclau, Laclau, Charlotte, Ievgen Redko +5 · 3 citations
   Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
3. Fair Text Classification with Wasserstein Independence
   2023/11/21 by Thibaud Leteno, Antoine Gourru, Leteno, Thibaud +7 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
   2024/02/19 by Paul Krzakala, Krzakala, Paul, Junjie Yang +9 · 1 voice · 2 citations
   Computer Science · Neuroscience · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Brain Tumor Detection and Classification
5. On the Realizability of Edge-Girth Sequences
   2026/07/28 by Lilian Marey, Paul Hilaire, Charlotte Laclau
   #math.CO