Dan Kushnir

19 papers A* 1A 2B 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cluster Tree for Nearest Neighbor Search.
Trans. Mach. Learn. Res.
Dan Kushnir, Sandeep Silwal
2024 J jnl
Accelerated Deep Active Learning with Graph-based Sub- Sampling.
Trans. Mach. Learn. Res.
Dan Kushnir, Shiyun Xu
2024 J jnl
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency.
CoRR
Aidan Boyd, Mohamed Trabelsi, Hüseyin Uzunalioglu, Dan Kushnir
2020 A conf
Active Community Detection with Maximal Expected Model Change.
AISTATS
Dan Kushnir, Benjamin Mirabelli
2020 J jnl
Diffusion-based Deep Active Learning.
CoRR
Dan Kushnir, Luca Venturi
2019 A conf
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time.
AISTATS
Dan Kushnir, Shirin Jalali, Iraj Saniee
2018 J jnl
Active Community Detection: A Maximum Likelihood Approach.
CoRR
Benjamin Mirabelli, Dan Kushnir
2018 B conf
Predicting Outages in Radio Networks with Alarm Data.
IWQoS
Dan Kushnir, Gautam Gohil, Zulfiquar Sayeed, Hüseyin Uzunalioglu
2017 — conf
Detecting and predicting outages in mobile networks with log data.
ICC
Vijay K. Gurbani, Dan Kushnir, Veena B. Mendiratta, Chitra Phadke, Eric Falk, Radu State
2017 J jnl
Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds.
CoRR
Dan Kushnir, Shirin Jalali, Iraj Saniee
2016 — conf
Causality inference for failures in NFV.
INFOCOM Workshops
Dan Kushnir, Maayan Goldstein
2015 — conf
Predicting home network problems using diverse data.
Sarnoff Symposium
Ahmet A. Akyamaç, Chitra Phadke, Dan Kushnir, Hüseyin Uzunalioglu
2014 A* conf
Active-transductive learning with label-adapted kernels.
KDD
Dan Kushnir
2013 J jnl
Prediction of Subscriber Churn Using Social Network Analysis.
Bell Labs Tech. J.
Chitra Phadke, Hüseyin Uzunalioglu, Veena B. Mendiratta, Dan Kushnir, Derek Doran
2012 J jnl
A Highly Accurate Solver for Stiff Ordinary Differential Equations.
SIAM J. Sci. Comput.
Dan Kushnir, Vladimir Rokhlin
2012 J jnl
Parametrization of Linear Systems Using Diffusion Kernels.
IEEE Trans. Signal Process.
Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Israel Cohen, Sharon Gannot
2010 J jnl
Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks.
IEEE Trans. Pattern Anal. Mach. Intell.
Dan Kushnir, Meirav Galun, Achi Brandt
2008 J jnl
Manifold Learning: The Price of Normalization.
J. Mach. Learn. Res.
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Ritov
2006 J jnl
Fast multiscale clustering and manifold identification.
Pattern Recognit.
Dan Kushnir, Meirav Galun, Achi Brandt