Dan Kushnir

According to our database1, Dan Kushnir authored at least 17 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency.
CoRR, 2024

2020
Diffusion-based Deep Active Learning.
CoRR, 2020

Active Community Detection with Maximal Expected Model Change.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Active Community Detection: A Maximum Likelihood Approach.
CoRR, 2018

Predicting Outages in Radio Networks with Alarm Data.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

2017
Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds.
CoRR, 2017

Detecting and predicting outages in mobile networks with log data.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Causality inference for failures in NFV.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

2015
Predicting home network problems using diverse data.
Proceedings of the 36th IEEE Sarnoff Symposium 2015, Newark, NJ, USA, 2015

2014
Active-transductive learning with label-adapted kernels.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Prediction of Subscriber Churn Using Social Network Analysis.
Bell Labs Tech. J., 2013

2012
Parametrization of Linear Systems Using Diffusion Kernels.
IEEE Trans. Signal Process., 2012

A Highly Accurate Solver for Stiff Ordinary Differential Equations.
SIAM J. Sci. Comput., 2012

2010
Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

2008
Manifold Learning: The Price of Normalization.
J. Mach. Learn. Res., 2008

2006
Fast multiscale clustering and manifold identification.
Pattern Recognit., 2006


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