Fast multiscale clustering and manifold identification. - Dan Kushnir; Meirav Galun; Achi Brandt (Pattern Recognit., 2006)

Manifold Learning: The Price of Normalization. - Yair Goldberg; Alon Zakai; Dan Kushnir; Yaacov Ritov (J. Mach. Learn. Res., 2008)

Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks. - Dan Kushnir; Meirav Galun; Achi Brandt (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A Highly Accurate Solver for Stiff Ordinary Differential Equations. - Dan Kushnir; Vladimir Rokhlin (SIAM J. Sci. Comput., 2012)

Parametrization of Linear Systems Using Diffusion Kernels. - Ronen Talmon; Dan Kushnir; Ronald R. Coifman; Israel Cohen; Sharon Gannot (IEEE Trans. Signal Process., 2012)

Prediction of Subscriber Churn Using Social Network Analysis. - Chitra Phadke; Hüseyin Uzunalioglu; Veena B. Mendiratta; Dan Kushnir; Derek Doran (Bell Labs Tech. J., 2013)

Active-transductive learning with label-adapted kernels. - Dan Kushnir (KDD, 2014)

Predicting home network problems using diverse data. - Ahmet A. Akyamaç; Chitra Phadke; Dan Kushnir; Hüseyin Uzunalioglu (Sarnoff Symposium, 2015)

Causality inference for failures in NFV. - Dan Kushnir; Maayan Goldstein (INFOCOM Workshops, 2016)

Detecting and predicting outages in mobile networks with log data. - Vijay K. Gurbani; Dan Kushnir; Veena B. Mendiratta; Chitra Phadke; Eric Falk; Radu State (ICC, 2017)

Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds. - Dan Kushnir; Shirin Jalali; Iraj Saniee (CoRR, 2017)

Predicting Outages in Radio Networks with Alarm Data. - Dan Kushnir; Gautam Gohil; Zulfiquar Sayeed; Hüseyin Uzunalioglu (IWQoS, 2018)

Active Community Detection: A Maximum Likelihood Approach. - Benjamin Mirabelli; Dan Kushnir (CoRR, 2018)

Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time. - Dan Kushnir; Shirin Jalali; Iraj Saniee (AISTATS, 2019)

Active Community Detection with Maximal Expected Model Change. - Dan Kushnir; Benjamin Mirabelli (AISTATS, 2020)

Diffusion-based Deep Active Learning. - Dan Kushnir; Luca Venturi (CoRR, 2020)

Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency. - Aidan Boyd; Mohamed Trabelsi 003; Hüseyin Uzunalioglu; Dan Kushnir (CoRR, 2024)

Accelerated Deep Active Learning with Graph-based Sub- Sampling. - Dan Kushnir; Shiyun Xu (Trans. Mach. Learn. Res., 2024)

Cluster Tree for Nearest Neighbor Search. - Dan Kushnir; Sandeep Silwal (Trans. Mach. Learn. Res., 2025)