Salimeh Yasaei Sekeh

Orcid: 0000-0002-0854-5422

According to our database1, Salimeh Yasaei Sekeh authored at least 37 papers between 2014 and 2024.

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Bibliography

2024
Slimming Neural Networks Using Adaptive Connectivity Scores.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Robust Subgraph Learning by Monitoring Early Training Representations.
CoRR, 2024

FogGuard: guarding YOLO against fog using perceptual loss.
CoRR, 2024

Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space.
CoRR, 2024

2023
CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering.
J. Big Data, December, 2023

The Stanford Drone Dataset Is More Complex Than We Think: An Analysis of Key Characteristics.
IEEE Trans. Intell. Veh., February, 2023

Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning.
CoRR, 2023

A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness.
CoRR, 2023

Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures.
IEEE Access, 2023

Improving Hyperspectral Adversarial Robustness Under Multiple Attacks.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Can Deep Networks be Highly Performant, Efficient and Robust simultaneously?
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Improving Hyperspectral Adversarial Robustness using Ensemble Networks in the Presences of Multiple Attacks.
CoRR, 2022

Q-TART: Quickly Training for Adversarial Robustness and in-Transferability.
CoRR, 2022

Theoretical Understanding of the Information Flow on Continual Learning Performance.
Proceedings of the Computer Vision - ECCV 2022, 2022

2020
Learning to Bound the Multi-Class Bayes Error.
IEEE Trans. Signal Process., 2020

Adaptive County Level COVID-19 Forecast Models: Analysis and Improvement.
CoRR, 2020

MINT: Deep Network Compression via Mutual Information-based Neuron Trimming.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Convergence Rates for Empirical Estimation of Binary Classification Bounds.
Entropy, 2019

Geometric Estimation of Multivariate Dependency.
Entropy, 2019

Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples.
CoRR, 2019

Feature Selection for multi-labeled variables via Dependency Maximization.
CoRR, 2019

Feature Selection for Mutlti-labeled Variables via Dependency Maximization.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A Dimension-Independent Discriminant Between Distributions.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multi-class Bayes error estimation with a global minimal spanning tree.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Direct estimation of information divergence using nearest neighbor ratios.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Information theoretic structure learning with confidence.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015
Basic inequalities for weighted entropies.
CoRR, 2015

Weighted Gaussian entropy and determinant inequalities.
CoRR, 2015

Weighted cumulative entropies: An extension of CRE and CE.
CoRR, 2015

An extension of the Ky Fan inequality.
CoRR, 2015

Entropy-power inequality for weighted entropy.
CoRR, 2015

On relative weighted entropies with central moments weight functions.
CoRR, 2015

On double truncated (interval) WCRE and WCE.
CoRR, 2015

Results on the solutions of maximum weighted Renyi entropy problems.
CoRR, 2015

Extended inequalities for weighted Renyi entropy involving generalized Gaussian densities.
CoRR, 2015

A short note on estimation of WCRE and WCE.
CoRR, 2015

2014
Comparison Results for GARCH Processes.
J. Appl. Probab., 2014


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