| 2021 | ACML | Bayesian neural network unit priors and generalized Weibull-tail property. | Mariia Vladimirova, Julyan Arbel, Stphane Girard |
| 2016 | IGARSS | High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series. | Malys Lopes, Mathieu Fauvel, Stphane Girard, David Sheeren |
| 2015 | KDD | Estimating Local Intrinsic Dimensionality. | Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett |
| 2014 | ICASSP | Parsimonious Gaussian process models for the classification of multivariate remote sensing images. | Mathieu Fauvel, Charles Bouveyron, Stphane Girard |
| 2013 | DATE | A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits. | Smriti Joshi, Anne Lombardot, Marc Belleville, Edith Beign, Stphane Girard |
| 2009 | ESANN | Support vectors machines regression for estimation of mars surface physical properties. | Caroline Bernard-Michel, Sylvain Dout, Mathieu Fauvel, Laurent Gardes, Stphane Girard |
| 2009 | ESANN | Supervised classification of categorical data with uncertain labels for DNA barcoding. | Charles Bouveyron, Stphane Girard, Madalina Olteanu |
| 2009 | SIGMETRICS | Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. | Patrick Loiseau, Paulo Gonalves, Stphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet |
| 2008 | ESANN | Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression. | Caroline Bernard-Michel, Sylvain Dout, Laurent Gardes, Stphane Girard |