Pouria Saidi

Orcid: 0000-0001-7583-9722

According to our database1, Pouria Saidi authored at least 14 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Active Sequential Two-Sample Testing.
Trans. Mach. Learn. Res., 2024

Orthogonality and graph divergence losses promote disentanglement in generative models.
Frontiers Comput. Sci., 2024

Unraveling overoptimism and publication bias in ML-driven science.
CoRR, 2024

Non-Stationary Bandits with Periodic Behavior: Harnessing Ramanujan Periodicity Transforms to Conquer Time-Varying Challenges.
Proceedings of the IEEE International Conference on Acoustics, 2024

Achieving Reproducibility in EEG-Based Machine Learning.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2022
Structured Model Selection for Recovery of Sparse Representations in Nested Periodic Dictionaries.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Support Recovery Guarantees for Periodic Signals with Nested Periodic Dictionaries.
CoRR, 2021

Sparse Recovery Guarantees of Periodic Signals with Nested Periodic Dictionaries.
Proceedings of the IEEE Information Theory Workshop, 2021

2020
Improved Block-Sparse Recovery Bound Using Cumulative Block Coherence.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2018
Periodicity Transforms For Multichannel and Multiclass Detection of Visual Evoked Potentials.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Detection of Visual Evoked Potentials using Ramanujan Periodicity Transform for real time brain computer interfaces.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

On robust detection of brain stimuli with Ramanujan Periodicity Transforms.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2015
Voice Disorder Signal Classification Using M-Band Wavelets and Support Vector Machine.
Circuits Syst. Signal Process., 2015

Motor imagery classification using multiresolution analysis and sparse representation of EEG signals.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015


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