Yousef El-Laham

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Importance Sampling

Particle Filtering

Top Venues

IEEE Signal Process. Lett.

Publications

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
Synthetic Data Applications in Finance. CoRR (2024)
Yousef El-Laham, Elizabeth Fons, Dillon Daudert, Svitlana Vyetrenko
Augment on Manifold: Mixup Regularization with UMAP. ICASSP (2024)
Zhongchang Sun, Yousef El-Laham, Svitlana Vyetrenko
Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach. ICASSP (2024)
Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko
A Language Model-Guided Framework for Mining Time Series with Distributional Shifts. CoRR (2024)
Yousef El-Laham, Elizabeth Fons, Dillon Daudert, Svitlana Vyetrenko
Augment on Manifold: Mixup Regularization with UMAP. CoRR (2023)
Tom Bamford, Elizabeth Fons, Yousef El-Laham, Svitlana Vyetrenko
MADS: Modulated Auto-Decoding SIREN for time series imputation. CoRR (2023)
Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko
Deep Gaussian Mixture Ensembles. CoRR (2023)
Zhongchang Sun, Yousef El-Laham, Svitlana Vyetrenko
Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach. CoRR (2023)
Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko
Deep Gaussian mixture ensembles. UAI (2023)
Yousef El-Laham, Svitlana Vyetrenko
StyleTime: Style Transfer for Synthetic Time Series Generation. CoRR (2022)
Günther Koliander, Yousef El-Laham, Petar M. Djuric, Franz Hlawatsch
Fusion of Probability Density Functions. CoRR (2022)
Marija Iloska, Yousef El-Laham, Mónica F. Bugallo
Graphical network and topology estimation for autoregressive models using Gibbs sampling. Signal Process. 190 (2022)
Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. CoRR (2022)
Yousef El-Laham, Svitlana Vyetrenko
StyleTime: Style Transfer for Synthetic Time Series Generation. ICAIF (2022)
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko
HyperTime: Implicit Neural Representation for Time Series. CoRR (2022)
Günther Koliander, Yousef El-Laham, Petar M. Djuric, Franz Hlawatsch
Fusion of Probability Density Functions. Proc. IEEE 110 (4) (2022)
Zahraa Krayem, Yousef El-Laham, Mónica F. Bugallo
Robust Frequency and Phase Estimation for Three-Phase Power Systems Using a Bank of Kalman Filters. IEEE Signal Process. Lett. 28 (2021)
Yousef El-Laham, Mónica F. Bugallo
Policy Gradient Importance Sampling for Bayesian Inference. IEEE Trans. Signal Process. 69 (2021)
Yousef El-Laham, Liu Yang, Heather J. Lynch, Petar M. Djuric, Mónica F. Bugallo
Particle Gibbs Sampling for Regime-Switching State-Space Models. ICASSP (2021)
Yousef El-Laham, Liu Yang, Petar M. Djuric, Mónica F. Bugallo
Particle Filtering Under General Regime Switching. EUSIPCO (2020)
Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo
Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling. ICASSP (2020)
Marija Iloska, Yousef El-Laham, Mónica F. Bugallo
A Particle Gibbs Sampling Approach to Topology Inference in Gene Regulatory Networks. ICASSP (2020)
Liu Yang, Hechuan Wang, Yousef El-Laham, José Ignacio Lamas Fonte, David Trillo Pérez, Mónica F. Bugallo
Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters. ICASSP (2020)
Yousef El-Laham, Mónica F. Bugallo
Stochastic Gradient Population Monte Carlo. IEEE Signal Process. Lett. 27 (2020)
Yousef El-Laham, Víctor Elvira, Mónica F. Bugallo
Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling. CAMSAP (2019)
Yousef El-Laham, Zahraa Krayem, Jessica Maghakian, Mónica F. Bugallo
A Novel Particle Filter for High-Dimensional Systems Using Penalized Perturbations. EUSIPCO (2019)
Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo
A Variational Adaptive Population Importance Sampler. ICASSP (2019)
Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo
Efficient Adaptive Multiple Importance Sampling. EUSIPCO (2019)
Yousef El-Laham, Victor Elvira, Mónica F. Bugallo
Robust Covariance Adaptation in Adaptive Importance Sampling. IEEE Signal Process. Lett. 25 (7) (2018)