Elizabeth Fons

26 papers A* 2A 1Misc 2Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adapting Language Models to Produce Good Class Probabilities for Classification Tasks.
Trans. Mach. Learn. Res.
Lautaro Estienne, Matías Vera, Elizabeth Fons, Elena Kochkina, Pablo Piantanida, Luciana Ferrer
2026 J jnl
DiffCATS: Causally Associated Time-Series Generation through Diffusion Models.
Trans. Mach. Learn. Res.
Giuseppe Masi, Andrea Coletta, Elizabeth Fons, Svitlana Vyetrenko, Novella Bartolini
2025 J jnl
AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation.
CoRR
Elizabeth Fons, Elena Kochkina, Rachneet Kaur, Zhen Zeng, Berowne Hlavaty, Charese Smiley, Svitlana Vyetrenko, Manuela Veloso
2025 A* conf
LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation.
ICML
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso
2025 J jnl
LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation.
CoRR
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso
2025 J jnl
TADACap: Time-series Adaptive Domain-Aware Captioning.
CoRR
Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso
2025 J jnl
TS-Agent: A Time Series Reasoning Agent with Iterative Statistical Insight Gathering.
CoRR
Penghang Liu, Elizabeth Fons, Svitlana Vyetrenko, Daniel Borrajo, Vamsi K. Potluru, Manuela Veloso
2024 J jnl
A Language Model-Guided Framework for Mining Time Series with Distributional Shifts.
CoRR
Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko
2024 Misc conf
Augment on Manifold: Mixup Regularization with UMAP.
ICASSP
Yousef El-Laham, Elizabeth Fons, Dillon Daudert, Svitlana Vyetrenko
2024 A* conf
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.
EMNLP
Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko
2024 J jnl
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.
CoRR
Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Svitlana Vyetrenko, Tucker Balch
2024 J jnl
Synthetic Data Applications in Finance.
CoRR
Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch
2024 — conf
TADACap: Time-series Adaptive Domain-Aware Captioning.
ICAIF
Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso
2024 J jnl
iHyperTime: Interpretable Time Series Generation with Implicit Neural Representations.
Trans. Mach. Learn. Res.
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Andrea Coletta, Alexandros Iosifidis, Svitlana Vyetrenko
2023 J jnl
Augment on Manifold: Mixup Regularization with UMAP.
CoRR
Yousef El-Laham, Elizabeth Fons, Dillon Daudert, Svitlana Vyetrenko
2023 J jnl
Deep Gaussian Mixture Ensembles.
CoRR
Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko
2023 A conf
Deep Gaussian mixture ensembles.
UAI
Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko
2023 J jnl
MADS: Modulated Auto-Decoding SIREN for time series imputation.
CoRR
Tom Bamford, Elizabeth Fons, Yousef El-Laham, Svitlana Vyetrenko
2023 — conf
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections.
ICAIF
Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2023 J jnl
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections.
CoRR
Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2022 J jnl
HyperTime: Implicit Neural Representation for Time Series.
CoRR
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko
2021 J jnl
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing.
Expert Syst. Appl.
Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane
2021 J jnl
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation.
CoRR
Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis
2021 Misc conf
Augmenting Transferred Representations for Stock Classification.
ICASSP
Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis
2020 J jnl
Evaluating data augmentation for financial time series classification.
CoRR
Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis
2019 J jnl
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing.
CoRR
Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane