Marchand-Maillet, Stéphane

16 publications

ICLRW 2025 Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability Lorenzo Bini, Marco Sorbi, Stephane Marchand-Maillet

CHIL 2024 FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stephane Marchand-Maillet

ICMLW 2024 Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction Fatemeh Nassajian Mojarrad, Lorenzo Bini, Thomas Matthes, Stephane Marchand-Maillet

ICCVW 2021 H&E-Adversarial Network: A Convolutional Neural Network to Learn Stain-Invariant Features Through Hematoxylin & Eosin Regression Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller

ECML-PKDD 2018 Large-Scale Nonlinear Variable Selection via Kernel Random Features Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet

UAI 2018 Structured Nonlinear Variable Selection Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet

ECML-PKDD 2017 Forecasting and Granger Modelling with Non-Linear Dynamical Dependencies Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet

ACML 2017 Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet

ECCV 2016 Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art Edgar Roman-Rangel, Gulcan Can, Stéphane Marchand-Maillet, Rui Hu, Carlos Pallan Gayol, Guido Krempel, Jakub Spotak, Jean-Marc Odobez, Daniel Gatica-Perez

ECCVW 2016 Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art Edgar Roman-Rangel, Gulcan Can, Stéphane Marchand-Maillet, Rui Hu, Carlos Pallan Gayol, Guido Krempel, Jakub Spotak, Jean-Marc Odobez, Daniel Gatica-Perez

NeurIPS 2015 Space-Time Local Embeddings Ke Sun, Jun Wang, Alexandros Kalousis, Stephane Marchand-Maillet

ICML 2014 An Information Geometry of Statistical Manifold Learning Ke Sun, Stéphane Marchand-Maillet

ACML 2014 Sparsity on Statistical Simplexes and Diversity in Social Ranking Ke Sun, Hisham Mohamed, Stephane Marchand-Maillet

ICML 2014 Two-Stage Metric Learning Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis

CVPR 2004 Visual Object Categorization Using Distance-Based Discriminant Analysis Serhiy Kosinov, Stéphane Marchand-Maillet, Thierry Pun

CVPRW 2004 Visual Object Categorization Using Distance-Based Discriminant Analysis Serhiy Kosinov, Stéphane Marchand-Maillet, Thierry Pun