Omar Chehab

Orcid: 0000-0002-4429-1933

According to our database1, Omar Chehab authored at least 9 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations.
CoRR, January, 2025

2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics.
CoRR, 2024

A Practical Diffusion Path for Sampling.
CoRR, 2024

2023
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation.
CoRR, 2023

Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
The optimal noise in noise-contrastive learning is not what you think.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Deep Recurrent Encoder: A scalable end-to-end network to model brain signals.
CoRR, 2021

Learning with self-supervision on EEG data.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

2020
Uncovering the structure of clinical EEG signals with self-supervised learning.
CoRR, 2020


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