Salimeh Yasaei Sekeh

53 papers A 1B 2Misc 3Journal 43Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Information Consistent Pruning: How to Efficiently Search for Sparse Networks? CoRR Soheil Gharatappeh, Salimeh Yasaei Sekeh
2025	—	`conf`	Robust Subgraph Learning by Monitoring Early Training Representations. IDS Sepideh Neshatfar, Salimeh Yasaei Sekeh
2025	J	`jnl`	Weather-Aware Object Detection Transformer for Domain Adaptation. CoRR Soheil Gharatappeh, Salimeh Yasaei Sekeh, Vikas Dhiman
2024	J	`jnl`	FogGuard: guarding YOLO against fog using perceptual loss. CoRR Soheil Gharatappeh, Sepideh Neshatfar, Salimeh Yasaei Sekeh, Vikas Dhiman
2024	J	`jnl`	Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts. CoRR Mary Isabelle Wisell, Salimeh Yasaei Sekeh
2024	J	`jnl`	Robust Subgraph Learning by Monitoring Early Training Representations. CoRR Sepideh Neshatfar, Salimeh Yasaei Sekeh
2024	J	`jnl`	Slimming Neural Networks Using Adaptive Connectivity Scores. IEEE Trans. Neural Networks Learn. Syst. Madan Ravi Ganesh, Dawsin Blanchard, Jason J. Corso, Salimeh Yasaei Sekeh
2024	J	`jnl`	Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space. CoRR Mahsa Mozafari-Nia, Salimeh Yasaei Sekeh
2023	J	`jnl`	A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness. CoRR Jovon Craig, Joshua Andle, Theodore S. Nowak, Salimeh Yasaei Sekeh
2023	J	`jnl`	CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering. J. Big Data Nicholas Soucy, Salimeh Yasaei Sekeh
2023	A	`conf`	Can Deep Networks be Highly Performant, Efficient and Robust simultaneously? BMVC Madan Ravi Ganesh, Salimeh Yasaei Sekeh, Jason J. Corso
2023	—	`conf`	Improving Hyperspectral Adversarial Robustness Under Multiple Attacks. Tiny Papers @ ICLR Nicholas Soucy, Salimeh Yasaei Sekeh
2023	J	`jnl`	Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning. CoRR Joshua Andle, Ali Payani, Salimeh Yasaei Sekeh
2023	J	`jnl`	Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. IEEE Access Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
2023	J	`jnl`	Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. CoRR Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
2023	J	`jnl`	The Stanford Drone Dataset Is More Complex Than We Think: An Analysis of Key Characteristics. IEEE Trans. Intell. Veh. Joshua Andle, Nicholas Soucy, Simon Socolow, Salimeh Yasaei Sekeh
2022	J	`jnl`	CEU-Net: Ensemble Semantic Segmentation of Hyperspectral Images Using Clustering. CoRR Nicholas Soucy, Salimeh Yasaei Sekeh
2022	J	`jnl`	Improving Hyperspectral Adversarial Robustness using Ensemble Networks in the Presences of Multiple Attacks. CoRR Nicholas Soucy, Salimeh Yasaei Sekeh
2022	J	`jnl`	Q-TART: Quickly Training for Adversarial Robustness and in-Transferability. CoRR Madan Ravi Ganesh, Salimeh Yasaei Sekeh, Jason J. Corso
2022	J	`jnl`	The Stanford Drone Dataset is More Complex than We Think: An Analysis of Key Characteristics. CoRR Joshua Andle, Nicholas Soucy, Simon Socolow, Salimeh Yasaei Sekeh
2022	—	`conf`	Theoretical Understanding of the Information Flow on Continual Learning Performance. ECCV (12) Joshua Andle, Salimeh Yasaei Sekeh
2022	J	`jnl`	Theoretical Understanding of the Information Flow on Continual Learning Performance. CoRR Joshua Andle, Salimeh Yasaei Sekeh
2020	J	`jnl`	Adaptive County Level COVID-19 Forecast Models: Analysis and Improvement. CoRR Stewart W. Doe, Tyler Russell Seekins, David Fitzpatrick, Dawsin Blanchard, Salimeh Yasaei Sekeh
2020	J	`jnl`	Learning to Bound the Multi-Class Bayes Error. IEEE Trans. Signal Process. Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
2020	B	`conf`	MINT: Deep Network Compression via Mutual Information-based Neuron Trimming. ICPR Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh
2020	J	`jnl`	MINT: Deep Network Compression via Mutual Information-based Neuron Trimming. CoRR Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh
2020	J	`jnl`	Slimming Neural Networks using Adaptive Connectivity Scores. CoRR Madan Ravi Ganesh, Dawsin Blanchard, Jason J. Corso, Salimeh Yasaei Sekeh
2019	J	`jnl`	Convergence Rates for Empirical Estimation of Binary Classification Bounds. Entropy Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
2019	Misc	`conf`	Feature Selection for Mutlti-labeled Variables via Dependency Maximization. ICASSP Salimeh Yasaei Sekeh, Alfred O. Hero III
2019	J	`jnl`	Feature Selection for multi-labeled variables via Dependency Maximization. CoRR Salimeh Yasaei Sekeh, Alfred O. Hero III
2019	J	`jnl`	Geometric Estimation of Multivariate Dependency. CoRR Salimeh Yasaei Sekeh, Alfred O. Hero III
2019	J	`jnl`	Geometric Estimation of Multivariate Dependency. Entropy Salimeh Yasaei Sekeh, Alfred O. Hero III
2019	J	`jnl`	Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples. CoRR Salimeh Yasaei Sekeh, Madan Ravi Ganesh, Shurjo Banerjee, Jason J. Corso, Alfred O. Hero III
2018	Misc	`conf`	A Dimension-Independent Discriminant Between Distributions. ICASSP Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
2018	J	`jnl`	A Dimension-Independent discriminant between distributions. CoRR Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
2018	J	`jnl`	Convergence Rates for Empirical Estimation of Binary Classification Bounds. CoRR Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
2018	J	`jnl`	Learning to Bound the Multi-class Bayes Error. CoRR Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
2018	—	`conf`	Multi-class Bayes error estimation with a global minimal spanning tree. Allerton Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III
2017	J	`jnl`	Direct Estimation of Information Divergence Using Nearest Neighbor Ratios. CoRR Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
2017	B	`conf`	Direct estimation of information divergence using nearest neighbor ratios. ISIT Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
2017	Misc	`conf`	Information theoretic structure learning with confidence. ICASSP Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
2016	J	`jnl`	Information Theoretic Structure Learning with Confidence. CoRR Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
2015	J	`jnl`	A short note on estimation of WCRE and WCE. CoRR Salimeh Yasaei Sekeh
2015	J	`jnl`	An extension of the Ky Fan inequality. CoRR Yuri M. Suhov, Salimeh Yasaei Sekeh
2015	J	`jnl`	Basic inequalities for weighted entropies. CoRR Yuri M. Suhov, Izabella Stuhl, Salimeh Yasaei Sekeh, Mark Kelbert
2015	J	`jnl`	Entropy-power inequality for weighted entropy. CoRR Yuri M. Suhov, Salimeh Yasaei Sekeh
2015	J	`jnl`	Extended inequalities for weighted Renyi entropy involving generalized Gaussian densities. CoRR Salimeh Yasaei Sekeh
2015	J	`jnl`	On double truncated (interval) WCRE and WCE. CoRR Salimeh Yasaei Sekeh, Gholamreza Mohtashami Borzadran, Abdolhamid Rezaei Roknabadi
2015	J	`jnl`	On relative weighted entropies with central moments weight functions. CoRR Salimeh Yasaei Sekeh, Adriano Polpo
2015	J	`jnl`	Results on the solutions of maximum weighted Renyi entropy problems. CoRR Salimeh Yasaei Sekeh
2015	J	`jnl`	Weighted Gaussian entropy and determinant inequalities. CoRR Yuri M. Suhov, Salimeh Yasaei Sekeh, Izabella Stuhl
2015	J	`jnl`	Weighted cumulative entropies: An extension of CRE and CE. CoRR Yuri M. Suhov, Salimeh Yasaei Sekeh
2014	J	`jnl`	Comparison Results for GARCH Processes. J. Appl. Probab. Fabio Bellini, Franco Pellerey, Carlo Sgarra, Salimeh Yasaei Sekeh