See also my Google Scholar profile and my detailed CV.
2021
- J.-Y. Franceschi, E. de Bézenac, I. Ayed, M. Chen, S. Lamprier, P. Gallinari. “A Neural Tangent Kernel Perspective of GANs”. Preprint. 2021.
- Jérémie Donà, J.-Y. Franceschi, S. Lamprier, P. Gallinari. “PDE-Driven Spatiotemporal Disentanglement”. In: International Conference on Learning Representations. 2021.
2020
- J.-Y. Franceschi, E. Delasalles, M. Chen, S. Lamprier, P. Gallinari. “Stochastic Latent Residual Video Prediction”. In: Proceedings of the 37th International Conference on Machine Learning. Vol. 119. Proceedings of Machine Learning Research. Virtual: PMLR, July 2020, pp. 3233–3246.
- Links:
- Video presentation: https://icml.cc/virtual/2020/poster/5773.
- Project website: https://sites.google.com/view/srvp/.
- Code: https://github.com/edouardelasalles/srvp.
- Pretrained models: https://data.lip6.fr/srvp/.
2019
- J.-Y. Franceschi, A. Dieuleveut, M. Jaggi. “Unsupervised Scalable Representation Learning for Multivariate Time Series”. In: Advances in Neural Information Processing Systems 32. Curran Associates, Inc., 2019, pp. 4650–4661.
2018
- J.-Y. Franceschi, A. Fawzi, O. Fawzi. “Robustness of classifiers to uniform ℓp and Gaussian noise”. In: Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS). Vol. 84. Proceedings of Machine Learning Research. Playa Blanca, Lanzarote, Canary Islands: PMLR, Apr. 2018, pp. 1280–1288.
2017
- A.G.M. Ahmed, J. Guo, D.M. Yan, J.-Y. Franceschi, X. Zhang, O. Deussen. “A Simple Push-Pull Algorithm for Blue-Noise Sampling”. In: IEEE Transactions on Visualization and Computer Graphics 23.12 (Dec. 2017), pp. 2496–2508.