Salimeh Yasaei Sekeh

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 48

Top Topics

Minimal Spanning Tree

Gaussian Densities

Top Venues

Publications

Mahsa Mozafari-Nia, Salimeh Yasaei Sekeh
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space. CoRR (2024)
Soheil Gharatappeh, Sepideh Neshatfar, Salimeh Yasaei Sekeh, Vikas Dhiman
FogGuard: guarding YOLO against fog using perceptual loss. CoRR (2024)
Madan Ravi Ganesh, Dawsin Blanchard, Jason J. Corso, Salimeh Yasaei Sekeh
Slimming Neural Networks Using Adaptive Connectivity Scores. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Sepideh Neshatfar, Salimeh Yasaei Sekeh
Robust Subgraph Learning by Monitoring Early Training Representations. CoRR (2024)
Madan Ravi Ganesh, Salimeh Yasaei Sekeh, Jason J. Corso
Can Deep Networks be Highly Performant, Efficient and Robust simultaneously? BMVC (2023)
Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. CoRR (2023)
Joshua Andle, Nicholas Soucy, Simon Socolow, Salimeh Yasaei Sekeh
The Stanford Drone Dataset Is More Complex Than We Think: An Analysis of Key Characteristics. IEEE Trans. Intell. Veh. 8 (2) (2023)
Nicholas Soucy, Salimeh Yasaei Sekeh
Improving Hyperspectral Adversarial Robustness Under Multiple Attacks. Tiny Papers @ ICLR (2023)
Nicholas Soucy, Salimeh Yasaei Sekeh
CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering. J. Big Data 10 (1) (2023)
Jovon Craig, Joshua Andle, Theodore S. Nowak, Salimeh Yasaei Sekeh
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness. CoRR (2023)
Joshua Andle, Ali Payani, Salimeh Yasaei Sekeh
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning. CoRR (2023)
Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. IEEE Access 11 (2023)
Joshua Andle, Salimeh Yasaei Sekeh
Theoretical Understanding of the Information Flow on Continual Learning Performance. CoRR (2022)
Nicholas Soucy, Salimeh Yasaei Sekeh
CEU-Net: Ensemble Semantic Segmentation of Hyperspectral Images Using Clustering. CoRR (2022)
Joshua Andle, Salimeh Yasaei Sekeh
Theoretical Understanding of the Information Flow on Continual Learning Performance. ECCV (12) (2022)
Joshua Andle, Nicholas Soucy, Simon Socolow, Salimeh Yasaei Sekeh
The Stanford Drone Dataset is More Complex than We Think: An Analysis of Key Characteristics. CoRR (2022)
Madan Ravi Ganesh, Salimeh Yasaei Sekeh, Jason J. Corso
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability. CoRR (2022)
Nicholas Soucy, Salimeh Yasaei Sekeh
Improving Hyperspectral Adversarial Robustness using Ensemble Networks in the Presences of Multiple Attacks. CoRR (2022)
Madan Ravi Ganesh, Dawsin Blanchard, Jason J. Corso, Salimeh Yasaei Sekeh
Slimming Neural Networks using Adaptive Connectivity Scores. CoRR (2020)
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
Learning to Bound the Multi-Class Bayes Error. IEEE Trans. Signal Process. 68 (2020)
Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming. ICPR (2020)
Stewart W. Doe, Tyler Russell Seekins, David Fitzpatrick, Dawsin Blanchard, Salimeh Yasaei Sekeh
Adaptive County Level COVID-19 Forecast Models: Analysis and Improvement. CoRR (2020)
Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming. CoRR (2020)
Salimeh Yasaei Sekeh, Alfred O. Hero III
Geometric Estimation of Multivariate Dependency. CoRR (2019)
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
Convergence Rates for Empirical Estimation of Binary Classification Bounds. Entropy 21 (12) (2019)
Salimeh Yasaei Sekeh, Alfred O. Hero III
Geometric Estimation of Multivariate Dependency. Entropy 21 (8) (2019)
Salimeh Yasaei Sekeh, Alfred O. Hero III
Feature Selection for multi-labeled variables via Dependency Maximization. CoRR (2019)
Salimeh Yasaei Sekeh, Alfred O. Hero III
Feature Selection for Mutlti-labeled Variables via Dependency Maximization. ICASSP (2019)
Salimeh Yasaei Sekeh, Madan Ravi Ganesh, Shurjo Banerjee, Jason J. Corso, Alfred O. Hero III
Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples. CoRR (2019)
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
A Dimension-Independent Discriminant Between Distributions. ICASSP (2018)
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
Learning to Bound the Multi-class Bayes Error. CoRR (2018)
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
Convergence Rates for Empirical Estimation of Binary Classification Bounds. CoRR (2018)
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
Multi-class Bayes error estimation with a global minimal spanning tree. Allerton (2018)
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
A Dimension-Independent discriminant between distributions. CoRR (2018)
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
Information theoretic structure learning with confidence. ICASSP (2017)
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios. CoRR (2017)
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
Direct estimation of information divergence using nearest neighbor ratios. ISIT (2017)
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
Information Theoretic Structure Learning with Confidence. CoRR (2016)
Yuri M. Suhov, Salimeh Yasaei Sekeh
An extension of the Ky Fan inequality. CoRR (2015)
Yuri M. Suhov, Salimeh Yasaei Sekeh, Izabella Stuhl
Weighted Gaussian entropy and determinant inequalities. CoRR (2015)
Yuri M. Suhov, Salimeh Yasaei Sekeh
Weighted cumulative entropies: An extension of CRE and CE. CoRR (2015)
Yuri M. Suhov, Salimeh Yasaei Sekeh
Entropy-power inequality for weighted entropy. CoRR (2015)
Salimeh Yasaei Sekeh, Adriano Polpo
On relative weighted entropies with central moments weight functions. CoRR (2015)
Salimeh Yasaei Sekeh
Extended inequalities for weighted Renyi entropy involving generalized Gaussian densities. CoRR (2015)
Salimeh Yasaei Sekeh, Gholamreza Mohtashami Borzadran, Abdolhamid Rezaei Roknabadi
On double truncated (interval) WCRE and WCE. CoRR (2015)
Yuri M. Suhov, Izabella Stuhl, Salimeh Yasaei Sekeh, Mark Kelbert
Basic inequalities for weighted entropies. CoRR (2015)
Salimeh Yasaei Sekeh
Results on the solutions of maximum weighted Renyi entropy problems. CoRR (2015)
Salimeh Yasaei Sekeh
A short note on estimation of WCRE and WCE. CoRR (2015)
Fabio Bellini, Franco Pellerey, Carlo Sgarra, Salimeh Yasaei Sekeh
Comparison Results for GARCH Processes. J. Appl. Probab. 51 (3) (2014)