Yousef El-Laham

39 papers A* 1A 2Misc 8Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Linear Diffusions: Improved Representations for Rare Conditional Generative Modeling. CoRR Kulunu Dharmakeerthi, Yousef El-Laham, Henry H. Wong, Vamsi K. Potluru, Changhong He, Taosong He
2025	J	`jnl`	Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics. CoRR Benjamin Sterling, Yousef El-Laham, Mónica F. Bugallo
2025	Misc	`conf`	Fusion of Information in Multiple Particle Filtering in the Presence of Unknown Static Parameters. ICASSP Xiaokun Zhao, Marija Iloska, Yousef El-Laham, Mónica F. Bugallo
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	A	`conf`	Mixup Regularization: A Probabilistic Perspective. UAI Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso
2025	J	`jnl`	Mixup Regularization: A Probabilistic Perspective. CoRR Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso
2025	J	`jnl`	Variational Neural Stochastic Differential Equations with Change Points. Trans. Mach. Learn. Res. Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko
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	Misc	`conf`	Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach. ICASSP Zhongchang Sun, Yousef El-Laham, Svitlana Vyetrenko
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	J	`jnl`	Variational Neural Stochastic Differential Equations with Change Points. CoRR Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko
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	J	`jnl`	Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach. CoRR Zhongchang Sun, Yousef El-Laham, Svitlana Vyetrenko
2022	J	`jnl`	DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. CoRR Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu
2022	J	`jnl`	Fusion of Probability Density Functions. CoRR Günther Koliander, Yousef El-Laham, Petar M. Djuric, Franz Hlawatsch
2022	J	`jnl`	Fusion of Probability Density Functions. Proc. IEEE Günther Koliander, Yousef El-Laham, Petar M. Djuric, Franz Hlawatsch
2022	J	`jnl`	Graphical network and topology estimation for autoregressive models using Gibbs sampling. Signal Process. Marija Iloska, Yousef El-Laham, Mónica F. Bugallo
2022	J	`jnl`	HyperTime: Implicit Neural Representation for Time Series. CoRR Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko
2022	—	`conf`	StyleTime: Style Transfer for Synthetic Time Series Generation. ICAIF Yousef El-Laham, Svitlana Vyetrenko
2022	J	`jnl`	StyleTime: Style Transfer for Synthetic Time Series Generation. CoRR Yousef El-Laham, Svitlana Vyetrenko
2021	Misc	`conf`	Particle Gibbs Sampling for Regime-Switching State-Space Models. ICASSP Yousef El-Laham, Liu Yang, Heather J. Lynch, Petar M. Djuric, Mónica F. Bugallo
2021	J	`jnl`	Policy Gradient Importance Sampling for Bayesian Inference. IEEE Trans. Signal Process. Yousef El-Laham, Mónica F. Bugallo
2021	J	`jnl`	Robust Frequency and Phase Estimation for Three-Phase Power Systems Using a Bank of Kalman Filters. IEEE Signal Process. Lett. Zahraa Krayem, Yousef El-Laham, Mónica F. Bugallo
2020	Misc	`conf`	A Particle Gibbs Sampling Approach to Topology Inference in Gene Regulatory Networks. ICASSP Marija Iloska, Yousef El-Laham, Mónica F. Bugallo
2020	Misc	`conf`	Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling. ICASSP Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo
2020	Misc	`conf`	Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters. ICASSP Liu Yang, Hechuan Wang, Yousef El-Laham, José Ignacio Lamas Fonte, David Trillo Pérez, Mónica F. Bugallo
2020	—	`conf`	Particle Filtering Under General Regime Switching. EUSIPCO Yousef El-Laham, Liu Yang, Petar M. Djuric, Mónica F. Bugallo
2020	J	`jnl`	Stochastic Gradient Population Monte Carlo. IEEE Signal Process. Lett. Yousef El-Laham, Mónica F. Bugallo
2019	—	`conf`	A Novel Particle Filter for High-Dimensional Systems Using Penalized Perturbations. EUSIPCO Yousef El-Laham, Zahraa Krayem, Jessica Maghakian, Mónica F. Bugallo
2019	Misc	`conf`	A Variational Adaptive Population Importance Sampler. ICASSP Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo
2019	—	`conf`	Efficient Adaptive Multiple Importance Sampling. EUSIPCO Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo
2019	—	`conf`	Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling. CAMSAP Yousef El-Laham, Víctor Elvira, Mónica F. Bugallo
2018	J	`jnl`	Robust Covariance Adaptation in Adaptive Importance Sampling. IEEE Signal Process. Lett. Yousef El-Laham, Victor Elvira, Mónica F. Bugallo