| 2023 | ESANN | Coordinate descent on the Stiefel manifold for deep neural network training. | Estelle M. Massart, Vinayak Abrol |
| 2022 | AAAI | Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. | Estelle M. Massart, Vinayak Abrol |
| 2022 | ICPR | Orthogonal regularizers in deep learning: how to handle rectangular matrices? | Estelle M. Massart |
| 2022 | ICPR | Improving weight clipping in Wasserstein GANs. | Estelle M. Massart |
| 2019 | CoDIT | Online balanced truncation for linear time-varying systems using continuously differentiable interpolation on Grassmann manifold. | Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil |
| 2019 | ESANN | Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results. | Estelle M. Massart, Pierre-Yves Gousenbourger, Nguyen Thanh Son, Tatjana Stykel, Pierre-Antoine Absil |
| 2017 | ESANN | Piecewise-Bzier C1 smoothing on manifolds with application to wind field estimation. | Pierre-Yves Gousenbourger, Estelle M. Massart, Antoni Musolas, Pierre-Antoine Absil, Julien M. Hendrickx, Laurent Jacques, Youssef M. Marzouk |
| 2016 | ESANN | Extending a two-variable mean to a multi-variable mean. | Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil |