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Dan Kushnir
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2020 – today
- 2024
- [i4]Aidan Boyd, Mohamed Trabelsi, Hüseyin Uzunalioglu, Dan Kushnir:
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency. CoRR abs/2410.16115 (2024) - 2020
- [c7]Dan Kushnir, Benjamin Mirabelli:
Active Community Detection with Maximal Expected Model Change. AISTATS 2020: 724-734 - [i3]Dan Kushnir, Luca Venturi:
Diffusion-based Deep Active Learning. CoRR abs/2003.10339 (2020)
2010 – 2019
- 2019
- [c6]Dan Kushnir, Shirin Jalali, Iraj Saniee:
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time. AISTATS 2019: 1379-1387 - 2018
- [c5]Dan Kushnir, Gautam Gohil, Zulfiquar Sayeed, Hüseyin Uzunalioglu:
Predicting Outages in Radio Networks with Alarm Data. IWQoS 2018: 1-2 - [i2]Benjamin Mirabelli, Dan Kushnir:
Active Community Detection: A Maximum Likelihood Approach. CoRR abs/1801.05856 (2018) - 2017
- [c4]Vijay K. Gurbani, Dan Kushnir, Veena B. Mendiratta, Chitra Phadke, Eric Falk, Radu State:
Detecting and predicting outages in mobile networks with log data. ICC 2017: 1-7 - [i1]Dan Kushnir, Shirin Jalali, Iraj Saniee:
Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds. CoRR abs/1712.07242 (2017) - 2016
- [c3]Dan Kushnir, Maayan Goldstein:
Causality inference for failures in NFV. INFOCOM Workshops 2016: 929-934 - 2015
- [c2]Ahmet A. Akyamaç, Chitra Phadke, Dan Kushnir, Hüseyin Uzunalioglu:
Predicting home network problems using diverse data. Sarnoff Symposium 2015: 1-6 - 2014
- [c1]Dan Kushnir:
Active-transductive learning with label-adapted kernels. KDD 2014: 462-471 - 2013
- [j6]Chitra Phadke, Hüseyin Uzunalioglu, Veena B. Mendiratta, Dan Kushnir, Derek Doran:
Prediction of Subscriber Churn Using Social Network Analysis. Bell Labs Tech. J. 17(4): 63-75 (2013) - 2012
- [j5]Dan Kushnir, Vladimir Rokhlin:
A Highly Accurate Solver for Stiff Ordinary Differential Equations. SIAM J. Sci. Comput. 34(3) (2012) - [j4]Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Israel Cohen, Sharon Gannot
:
Parametrization of Linear Systems Using Diffusion Kernels. IEEE Trans. Signal Process. 60(3): 1159-1173 (2012) - 2010
- [j3]Dan Kushnir, Meirav Galun, Achi Brandt:
Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1377-1391 (2010)
2000 – 2009
- 2008
- [j2]Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Ritov:
Manifold Learning: The Price of Normalization. J. Mach. Learn. Res. 9: 1909-1939 (2008) - 2006
- [j1]Dan Kushnir, Meirav Galun, Achi Brandt:
Fast multiscale clustering and manifold identification. Pattern Recognit. 39(10): 1876-1891 (2006)
Coauthor Index
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