| Synthetic Data Applications in Finance VK Potluru, D Borrajo, A Coletta, N Dalmasso, Y El-Laham, E Fons, ... arXiv preprint arXiv:2401.00081, 2023 | 56 | 2023 |
| Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation E Fons, P Dawson, X Zeng, J Keane, A Iosifidis arXiv preprint arXiv:2102.08310, 2021 | 41 | 2021 |
| HyperTime: Implicit Neural Representation for Time Series E Fons, A Sztrajman, Y El-Laham, A Iosifidis, S Vyetrenko arXiv preprint arXiv:2208.05836, 2022 | 38 | 2022 |
| A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing E Fons, P Dawson, J Yau, X Zeng, J Keane Expert Systems with Applications, 113720, 2020 | 33 | 2020 |
| Evaluating data augmentation for financial time series classification E Fons, P Dawson, X Zeng, J Keane, A Iosifidis arXiv preprint arXiv:2010.15111, 2020 | 32 | 2020 |
| Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark E Fons, R Kaur, S Palande, Z Zeng, T Balch, M Veloso, S Vyetrenko arXiv preprint arXiv:2404.16563, 2024 | 27 | 2024 |
| Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections T Bamford, A Coletta, E Fons, S Gopalakrishnan, S Vyetrenko, T Balch, ... Proceedings of the Fourth ACM International Conference on AI in Finance, 498-506, 2023 | 14 | 2023 |
| Deep Gaussian mixture ensembles Y El-Laham, N Dalmasso, E Fons, S Vyetrenko Uncertainty in Artificial Intelligence, 549-559, 2023 | 8 | 2023 |
| Augmenting transferred representations for stock classification E Fons, P Dawson, X Zeng, J Keane, A Iosifidis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
| Augment on Manifold: Mixup Regularization with UMAP Y El-Laham, E Fons, D Daudert, S Vyetrenko ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 6 | 2024 |
| LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation E Fons, A Sztrajman, Y El-Laham, L Ferrer, S Vyetrenko, M Veloso arXiv preprint arXiv:2506.17039, 2025 | 4 | 2025 |
| MADS: Modulated Auto-Decoding SIREN for time series imputation T Bamford, E Fons, Y El-Laham, S Vyetrenko arXiv preprint arXiv:2307.00868, 2023 | 4 | 2023 |
| iHyperTime: Interpretable Time Series Generation with Implicit Neural Representations E Fons, A Sztrajman, Y El-Laham, A Coletta, A Iosifidis, S Vyetrenko Transactions on Machine Learning Research, 2024 | 3 | 2024 |
| Machine learning applications on time series data for systematic investing E Fons University of Manchester, 2022 | 2 | 2022 |
| AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation E Fons, E Kochkina, R Kaur, Z Zeng, B Hlavaty, C Smiley, S Vyetrenko, ... arXiv preprint arXiv:2507.00718, 2025 | 1 | 2025 |
| TADACap: Time-series Adaptive Domain-Aware Captioning E Fons, R Kaur, Z Zeng, S Palande, T Balch, S Vyetrenko, M Veloso Proceedings of the 5th ACM International Conference on AI in Finance, 54-62, 2024 | 1 | 2024 |
| Few-Shot Learnable Augmentation for Financial Time Series Prediction under Distribution Shifts D Huynh, E Fons, S Vyetrenko NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 1 | 2022 |
| System and method for evaluating large language models on time series feature understanding F Elizabeth, R Kaur, Z Zeng, S Vyetrenko, TR BALCH US Patent App. 18/654,662, 2025 | | 2025 |
| TS-Agent: A Time Series Reasoning Agent with Iterative Statistical Insight Gathering P Liu, E Fons, S Vyetrenko, D Borrajo, V Potluru, M Veloso arXiv preprint arXiv:2510.07432, 2025 | | 2025 |
| Methods and apparatus utilizing uncertainty ELL Yousef, N DALMASSO, F Elizabeth, S Vyetrenko US Patent App. 18/535,591, 2025 | | 2025 |
Svitlana VyetrenkoJ. P. Morgan AI ResearchVerified email at jpmchase.com
