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Salimeh Yasaei Sekeh
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2020 – today
- 2024
- [j8]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): 3794-3808 (2024) - [i32]Mahsa Mozafari-Nia, Salimeh Yasaei Sekeh:
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space. CoRR abs/2403.00155 (2024) - [i31]Soheil Gharatappeh, Sepideh Neshatfar, Salimeh Yasaei Sekeh, Vikas Dhiman:
FogGuard: guarding YOLO against fog using perceptual loss. CoRR abs/2403.08939 (2024) - [i30]Sepideh Neshatfar, Salimeh Yasaei Sekeh:
Robust Subgraph Learning by Monitoring Early Training Representations. CoRR abs/2403.09901 (2024) - 2023
- [j7]Sepideh Neshatfar
, Abram Magner
, Salimeh Yasaei Sekeh
:
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. IEEE Access 11: 87533-87542 (2023) - [j6]Nicholas Soucy
, Salimeh Yasaei Sekeh:
CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering. J. Big Data 10(1): 43 (2023) - [j5]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): 1863-1873 (2023) - [c9]Madan Ravi Ganesh, Salimeh Yasaei Sekeh, Jason J. Corso:
Can Deep Networks be Highly Performant, Efficient and Robust simultaneously? BMVC 2023: 187 - [c8]Nicholas Soucy, Salimeh Yasaei Sekeh:
Improving Hyperspectral Adversarial Robustness Under Multiple Attacks. Tiny Papers @ ICLR 2023 - [i29]Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh:
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. CoRR abs/2305.07138 (2023) - [i28]Jovon Craig, Joshua Andle, Theodore S. Nowak, Salimeh Yasaei Sekeh:
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness. CoRR abs/2307.03803 (2023) - [i27]Joshua Andle, Ali Payani, Salimeh Yasaei Sekeh:
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning. CoRR abs/2311.09506 (2023) - 2022
- [c7]Joshua Andle
, Salimeh Yasaei Sekeh
:
Theoretical Understanding of the Information Flow on Continual Learning Performance. ECCV (12) 2022: 86-101 - [i26]Nicholas Soucy, Salimeh Yasaei Sekeh:
CEU-Net: Ensemble Semantic Segmentation of Hyperspectral Images Using Clustering. CoRR abs/2203.04873 (2022) - [i25]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 abs/2203.11743 (2022) - [i24]Madan Ravi Ganesh, Salimeh Yasaei Sekeh, Jason J. Corso
:
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability. CoRR abs/2204.07024 (2022) - [i23]Joshua Andle, Salimeh Yasaei Sekeh:
Theoretical Understanding of the Information Flow on Continual Learning Performance. CoRR abs/2204.12010 (2022) - [i22]Nicholas Soucy, Salimeh Yasaei Sekeh:
Improving Hyperspectral Adversarial Robustness using Ensemble Networks in the Presences of Multiple Attacks. CoRR abs/2210.16346 (2022) - 2020
- [j4]Salimeh Yasaei Sekeh
, Brandon Oselio, Alfred O. Hero III
:
Learning to Bound the Multi-Class Bayes Error. IEEE Trans. Signal Process. 68: 3793-3807 (2020) - [c6]Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh:
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming. ICPR 2020: 8251-8258 - [i21]Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh:
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming. CoRR abs/2003.08472 (2020) - [i20]Madan Ravi Ganesh, Dawsin Blanchard, Jason J. Corso, Salimeh Yasaei Sekeh:
Slimming Neural Networks using Adaptive Connectivity Scores. CoRR abs/2006.12463 (2020) - [i19]Stewart W. Doe, Tyler Russell Seekins, David Fitzpatrick, Dawsin Blanchard, Salimeh Yasaei Sekeh:
Adaptive County Level COVID-19 Forecast Models: Analysis and Improvement. CoRR abs/2006.12617 (2020)
2010 – 2019
- 2019
- [j3]Salimeh Yasaei Sekeh
, Alfred O. Hero III:
Geometric Estimation of Multivariate Dependency. Entropy 21(8): 787 (2019) - [j2]Salimeh Yasaei Sekeh
, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
:
Convergence Rates for Empirical Estimation of Binary Classification Bounds. Entropy 21(12): 1144 (2019) - [c5]Salimeh Yasaei Sekeh, Alfred O. Hero III:
Feature Selection for Mutlti-labeled Variables via Dependency Maximization. ICASSP 2019: 3127-3131 - [i18]Salimeh Yasaei Sekeh, Alfred O. Hero III:
Feature Selection for multi-labeled variables via Dependency Maximization. CoRR abs/1902.03544 (2019) - [i17]Salimeh Yasaei Sekeh, Alfred O. Hero III:
Geometric Estimation of Multivariate Dependency. CoRR abs/1905.08594 (2019) - [i16]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 abs/1910.01182 (2019) - 2018
- [c4]Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III:
Multi-class Bayes error estimation with a global minimal spanning tree. Allerton 2018: 676-681 - [c3]Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III:
A Dimension-Independent Discriminant Between Distributions. ICASSP 2018: 4419-4423 - [i15]Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III:
A Dimension-Independent discriminant between distributions. CoRR abs/1802.04497 (2018) - [i14]Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III:
Convergence Rates for Empirical Estimation of Binary Classification Bounds. CoRR abs/1810.01015 (2018) - [i13]Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero III:
Learning to Bound the Multi-class Bayes Error. CoRR abs/1811.06419 (2018) - 2017
- [c2]Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Information theoretic structure learning with confidence. ICASSP 2017: 6095-6099 - [c1]Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Direct estimation of information divergence using nearest neighbor ratios. ISIT 2017: 903-907 - [i12]Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios. CoRR abs/1702.05222 (2017) - 2016
- [i11]Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Information Theoretic Structure Learning with Confidence. CoRR abs/1609.03912 (2016) - 2015
- [i10]Yuri M. Suhov, Salimeh Yasaei Sekeh:
Entropy-power inequality for weighted entropy. CoRR abs/1502.02188 (2015) - [i9]Yuri M. Suhov, Salimeh Yasaei Sekeh:
An extension of the Ky Fan inequality. CoRR abs/1504.01166 (2015) - [i8]Yuri M. Suhov, Salimeh Yasaei Sekeh, Izabella Stuhl:
Weighted Gaussian entropy and determinant inequalities. CoRR abs/1505.01753 (2015) - [i7]Salimeh Yasaei Sekeh, Adriano Polpo:
On relative weighted entropies with central moments weight functions. CoRR abs/1506.04933 (2015) - [i6]Yuri M. Suhov, Salimeh Yasaei Sekeh:
Weighted cumulative entropies: An extension of CRE and CE. CoRR abs/1507.07051 (2015) - [i5]Salimeh Yasaei Sekeh, Gholamreza Mohtashami Borzadran, Abdolhamid Rezaei Roknabadi:
On double truncated (interval) WCRE and WCE. CoRR abs/1508.00246 (2015) - [i4]Salimeh Yasaei Sekeh:
A short note on estimation of WCRE and WCE. CoRR abs/1508.04742 (2015) - [i3]Salimeh Yasaei Sekeh:
Extended inequalities for weighted Renyi entropy involving generalized Gaussian densities. CoRR abs/1509.02190 (2015) - [i2]Yuri M. Suhov, Izabella Stuhl, Salimeh Yasaei Sekeh, Mark Kelbert:
Basic inequalities for weighted entropies. CoRR abs/1510.02184 (2015) - [i1]Salimeh Yasaei Sekeh:
Results on the solutions of maximum weighted Renyi entropy problems. CoRR abs/1510.07461 (2015) - 2014
- [j1]Fabio Bellini, Franco Pellerey, Carlo Sgarra, Salimeh Yasaei Sekeh:
Comparison Results for GARCH Processes. J. Appl. Probab. 51(3): 685-698 (2014)
Coauthor Index
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last updated on 2024-07-25 20:24 CEST by the dblp team
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