default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSalimeh Yasaei Sekeh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
