Fons, Elizabeth

8 publications

TMLR 2026 Adapting Language Models to Produce Good Class Probabilities for Classification Tasks Lautaro Estienne, Matias Vera, Elizabeth Fons, Elena Kochkina, Pablo Piantanida, Luciana Ferrer

TMLR 2026 DiffCATS: Causally Associated Time-Series Generation Through Diffusion Models Giuseppe Masi, Andrea Coletta, Elizabeth Fons, Svitlana Vyetrenko, Novella Bartolini

ICML 2025 LSCD: Lomb–Scargle Conditioned Diffusion for Time Series Imputation Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso

NeurIPSW 2024 A Language Model-Guided Framework for Mining Time Series with Distributional Shifts Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko

TMLR 2024 iHyperTime: Interpretable Time Series Generation with Implicit Neural Representations Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Andrea Coletta, Alexandros Iosifidis, Svitlana Vyetrenko

UAI 2023 Deep Gaussian Mixture Ensembles Yousef El-Laham, Niccolo Dalmasso, Elizabeth Fons, Svitlana Vyetrenko

NeurIPSW 2022 Few-Shot Learnable Augmentation for Financial Time Series Prediction Under Distribution Shifts Dat Huynh, Elizabeth Fons, Svitlana Vyetrenko

NeurIPSW 2022 HyperTime: Implicit Neural Representations for Time Series Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko