(1) N. Teneva and W. Cheng: Salience Rank: Efficient Keyphrase Extraction with Topic Modeling, ALC 2017

(2) S. Schelter, F. Biessmann, M. Zobel, N. Teneva: Structural Patterns in the Rise of Germany's New Right on Facebook, International Conference on Data Mining (ICDM) 2016, Data Mining in Politics Workshop

(3) N. Teneva, P. K. Mudrakarta and R. Kondor: Multiresolution Matrix Compression , AISTATS 2016, Winner of Notable Student Paper Award

(4) R. Kondor, N. Teneva and P. K. Mudrakarta: Parallel MMF: a Multiresolution Approach to Matrix Computation, arXiv preprint 2015

(5) R. Kondor, N. Teneva and V. Garg: Multiresolution Matrix Factorization, ICML 2014

(6) J.T. Fox, S. Sakamuru, R. Huang, N. Teneva, S.O. Simmons, M. Xia, R.R. Tice, C.P. Austin, K. Myung: High-throughput Genotoxicity Assay Identifies Antioxidants as Inducers of DNA Damage Response and Cell Death, PNAS 2012


pMMF: a high performance C++ library for parallel Multiresolution Matrix Factorization pMMF library page

PhD Thesis

Multiresolition Matrix Factorization , The University of Chicago, 2017