| Current teams : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
- G. Bonetta, M. Roberti, R. Cancelliere, P. Gallinari : “The Rare Word Issue in Natural Language Generation: A Character-Based Solution”, Informatics, vol. 8 (1), pp. 20, (MDPI) [Bonetta 2021]
- E. Delasalles, S. Lamprier, L. Denoyer : “Deep dynamic neural networks for temporal language modeling in author communities”, Knowledge and Information Systems (KAIS), vol. 63 (3), pp. 733-757, (Springer) [Delasalles 2021]
- M. Kirchmeyer, P. Gallinari, A. Rakotomamonjy, A. Mantrach : “Unsupervised domain adaptation with non-stochastic missing data”, Data Mining and Knowledge Discovery, vol. 35 (6), pp. 2714–2755, (Springer) [Kirchmeyer 2021]
- C. Rebuffel, M. Roberti, L. Soulier, G. Scoutheeten, R. Cancelliere, P. Gallinari : “Controlling hallucinations at word level in data-to-text generation”, Data Mining and Knowledge Discovery, (Springer) [Rebuffel 2021a]
- Y. Yin, V. Le Guen, J. Donà, E. De Bézenac, I. Ayed, N. Thome, P. Gallinari : “Augmenting physical models with deep networks for complex dynamics forecasting”, Journal of Statistical Mechanics: Theory and Experiment, vol. 2021 (12), pp. 124012, (IOP Publishing) [Yin 2021a]