Yousef El-Laham

According to our database, Yousef El-Laham authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

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

2023

Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach.

Zhongchang Sun, Yousef El-Laham, Svitlana Vyetrenko

CoRR, 2023

Augment on Manifold: Mixup Regularization with UMAP.

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

CoRR, 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

2022

Graphical network and topology estimation for autoregressive models using Gibbs sampling.

Marija Iloska, Yousef El-Laham, Mónica F. Bugallo

Signal Process., 2022

Fusion of Probability Density Functions.

Günther Koliander, Yousef El-Laham, Petar M. Djuric, Franz Hlawatsch

Proc. IEEE, 2022

DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift.

Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu

CoRR, 2022

HyperTime: Implicit Neural Representation for Time Series.

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

CoRR, 2022

StyleTime: Style Transfer for Synthetic Time Series Generation.

Yousef El-Laham, Svitlana Vyetrenko

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

Policy Gradient Importance Sampling for Bayesian Inference.

Yousef El-Laham, Mónica F. Bugallo

IEEE Trans. Signal Process., 2021

Robust Frequency and Phase Estimation for Three-Phase Power Systems Using a Bank of Kalman Filters.

Zahraa Krayem, Yousef El-Laham, Mónica F. Bugallo

IEEE Signal Process. Lett., 2021

Particle Gibbs Sampling for Regime-Switching State-Space Models.

Yousef El-Laham, Liu Yang, Heather J. Lynch, Petar M. Djuric, Mónica F. Bugallo

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Stochastic Gradient Population Monte Carlo.

Yousef El-Laham, Mónica F. Bugallo

IEEE Signal Process. Lett., 2020

Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters.

Liu Yang, Hechuan Wang, Yousef El-Laham, José Ignacio Lamas Fonte, David Trillo Pérez, Mónica F. Bugallo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Particle Gibbs Sampling Approach to Topology Inference in Gene Regulatory Networks.

Marija Iloska, Yousef El-Laham, Mónica F. Bugallo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling.

Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Particle Filtering Under General Regime Switching.

Yousef El-Laham, Liu Yang, Petar M. Djuric, Mónica F. Bugallo

Proceedings of the 28th European Signal Processing Conference, 2020

2019

A Variational Adaptive Population Importance Sampler.

Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo

Proceedings of the IEEE International Conference on Acoustics, 2019

Efficient Adaptive Multiple Importance Sampling.

Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo

Proceedings of the 27th European Signal Processing Conference, 2019

A Novel Particle Filter for High-Dimensional Systems Using Penalized Perturbations.

Yousef El-Laham, Zahraa Krayem, Jessica Maghakian, Mónica F. Bugallo

Proceedings of the 27th European Signal Processing Conference, 2019

Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling.

Yousef El-Laham, Víctor Elvira, Mónica F. Bugallo

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Robust Covariance Adaptation in Adaptive Importance Sampling.

Yousef El-Laham, Victor Elvira, Mónica F. Bugallo

IEEE Signal Process. Lett., 2018