Comparison Results for GARCH Processes. - Fabio Bellini; Franco Pellerey; Carlo Sgarra; Salimeh Yasaei Sekeh (J. Appl. Probab., 2014)

A short note on estimation of WCRE and WCE. - Salimeh Yasaei Sekeh (CoRR, 2015)

Extended inequalities for weighted Renyi entropy involving generalized Gaussian densities. - Salimeh Yasaei Sekeh (CoRR, 2015)

Results on the solutions of maximum weighted Renyi entropy problems. - Salimeh Yasaei Sekeh (CoRR, 2015)

On double truncated (interval) WCRE and WCE. - Salimeh Yasaei Sekeh; Gholamreza Mohtashami Borzadran; Abdolhamid Rezaei Roknabadi (CoRR, 2015)

On relative weighted entropies with central moments weight functions. - Salimeh Yasaei Sekeh; Adriano Polpo (CoRR, 2015)

Entropy-power inequality for weighted entropy. - Yuri M. Suhov; Salimeh Yasaei Sekeh (CoRR, 2015)

An extension of the Ky Fan inequality. - Yuri M. Suhov; Salimeh Yasaei Sekeh (CoRR, 2015)

Weighted cumulative entropies: An extension of CRE and CE. - Yuri M. Suhov; Salimeh Yasaei Sekeh (CoRR, 2015)

Weighted Gaussian entropy and determinant inequalities. - Yuri M. Suhov; Salimeh Yasaei Sekeh; Izabella Stuhl (CoRR, 2015)

Basic inequalities for weighted entropies. - Yuri M. Suhov; Izabella Stuhl; Salimeh Yasaei Sekeh; Mark Kelbert (CoRR, 2015)

Information theoretic structure learning with confidence. - Kevin R. Moon; Morteza Noshad; Salimeh Yasaei Sekeh; Alfred O. Hero III (ICASSP, 2017)

Direct estimation of information divergence using nearest neighbor ratios. - Morteza Noshad; Kevin R. Moon; Salimeh Yasaei Sekeh; Alfred O. Hero III (ISIT, 2017)

Multi-class Bayes error estimation with a global minimal spanning tree. - Salimeh Yasaei Sekeh; Brandon Oselio; Alfred O. Hero III (Allerton, 2018)

A Dimension-Independent Discriminant Between Distributions. - Salimeh Yasaei Sekeh; Brandon Oselio; Alfred O. Hero III (ICASSP, 2018)

Feature Selection for Mutlti-labeled Variables via Dependency Maximization. - Salimeh Yasaei Sekeh; Alfred O. Hero III (ICASSP, 2019)

Feature Selection for multi-labeled variables via Dependency Maximization. - Salimeh Yasaei Sekeh; Alfred O. Hero III (CoRR, 2019)

Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples. - Salimeh Yasaei Sekeh; Madan Ravi Ganesh; Shurjo Banerjee; Jason J. Corso; Alfred O. Hero III (CoRR, 2019)

Geometric Estimation of Multivariate Dependency. - Salimeh Yasaei Sekeh; Alfred O. Hero III (Entropy, 2019)

Convergence Rates for Empirical Estimation of Binary Classification Bounds. - Salimeh Yasaei Sekeh; Morteza Noshad; Kevin R. Moon; Alfred O. Hero III (Entropy, 2019)

MINT: Deep Network Compression via Mutual Information-based Neuron Trimming. - Madan Ravi Ganesh; Jason J. Corso; Salimeh Yasaei Sekeh (ICPR, 2020)

Adaptive County Level COVID-19 Forecast Models: Analysis and Improvement. - Stewart W. Doe; Tyler Russell Seekins; David Fitzpatrick; Dawsin Blanchard; Salimeh Yasaei Sekeh (CoRR, 2020)

Learning to Bound the Multi-Class Bayes Error. - Salimeh Yasaei Sekeh; Brandon Oselio; Alfred O. Hero III (IEEE Trans. Signal Process., 2020)

Theoretical Understanding of the Information Flow on Continual Learning Performance. - Joshua Andle; Salimeh Yasaei Sekeh (ECCV (12), 2022)

Q-TART: Quickly Training for Adversarial Robustness and in-Transferability. - Madan Ravi Ganesh; Salimeh Yasaei Sekeh; Jason J. Corso (CoRR, 2022)

Improving Hyperspectral Adversarial Robustness using Ensemble Networks in the Presences of Multiple Attacks. - Nicholas Soucy; Salimeh Yasaei Sekeh (CoRR, 2022)

Can Deep Networks be Highly Performant, Efficient and Robust simultaneously? - Madan Ravi Ganesh; Salimeh Yasaei Sekeh; Jason J. Corso (BMVC, 2023)

Improving Hyperspectral Adversarial Robustness Under Multiple Attacks. - Nicholas Soucy; Salimeh Yasaei Sekeh (Tiny Papers @ ICLR, 2023)

Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. - Sepideh Neshatfar; Abram Magner; Salimeh Yasaei Sekeh (IEEE Access, 2023)

A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness. - Jovon Craig; Joshua Andle; Theodore S. Nowak; Salimeh Yasaei Sekeh (CoRR, 2023)

Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning. - Joshua Andle; Ali Payani; Salimeh Yasaei Sekeh (CoRR, 2023)

The Stanford Drone Dataset Is More Complex Than We Think: An Analysis of Key Characteristics. - Joshua Andle; Nicholas Soucy; Simon Socolow; Salimeh Yasaei Sekeh (IEEE Trans. Intell. Veh., 2023)

CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering. - Nicholas Soucy; Salimeh Yasaei Sekeh (J. Big Data, 2023)

Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space. - Mahsa Mozafari-Nia; Salimeh Yasaei Sekeh (CoRR, 2024)

FogGuard: guarding YOLO against fog using perceptual loss. - Soheil Gharatappeh; Sepideh Neshatfar; Salimeh Yasaei Sekeh; Vikas Dhiman (CoRR, 2024)

Slimming Neural Networks Using Adaptive Connectivity Scores. - Madan Ravi Ganesh; Dawsin Blanchard; Jason J. Corso; Salimeh Yasaei Sekeh (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Subgraph Learning by Monitoring Early Training Representations. - Sepideh Neshatfar; Salimeh Yasaei Sekeh (IDS, 2025)

Information Consistent Pruning: How to Efficiently Search for Sparse Networks? - Soheil Gharatappeh; Salimeh Yasaei Sekeh (CoRR, 2025)

Weather-Aware Object Detection Transformer for Domain Adaptation. - Soheil Gharatappeh; Salimeh Yasaei Sekeh; Vikas Dhiman (CoRR, 2025)

Ghost-Connect Net: A Generalization-Enhanced Guidance for Sparse Deep Networks Under Distribution Shifts. - Mary Wisell; Salimeh Sekeh (Neural Process. Lett., 2025)