Elizabeth Fons

According to our database, Elizabeth Fons authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation.

Elizabeth Fons, Elena Kochkina, Rachneet Kaur, Zhen Zeng, Berowne Hlavaty, Charese Smiley, Svitlana Vyetrenko, Manuela Veloso

CoRR, July, 2025

LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation.

Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso

CoRR, June, 2025

2024

iHyperTime: Interpretable Time Series Generation with Implicit Neural Representations.

Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Andrea Coletta, Alexandros Iosifidis, Svitlana Vyetrenko

Trans. Mach. Learn. Res., 2024

A Language Model-Guided Framework for Mining Time Series with Distributional Shifts.

Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko

CoRR, 2024

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.

Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Svitlana Vyetrenko, Tucker Balch

CoRR, 2024

Synthetic Data Applications in Finance.

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

CoRR, 2024

Augment on Manifold: Mixup Regularization with UMAP.

Yousef El-Laham, Elizabeth Fons, Dillon Daudert, Svitlana Vyetrenko

Proceedings of the IEEE International Conference on Acoustics, 2024

TADACap: Time-series Adaptive Domain-Aware Captioning.

Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.

Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

MADS: Modulated Auto-Decoding SIREN for time series imputation.

Tom Bamford, Elizabeth Fons, Yousef El-Laham, Svitlana Vyetrenko

CoRR, 2023

Deep Gaussian mixture ensembles.

Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections.

Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

HyperTime: Implicit Neural Representation for Time Series.

Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko

CoRR, 2022

2021

A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing.

Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane

Expert Syst. Appl., 2021

Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation.

Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis

CoRR, 2021

Augmenting Transferred Representations for Stock Classification.

Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Evaluating data augmentation for financial time series classification.

Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis

CoRR, 2020