Yuval Kluger

发表

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Uri Shaham, Jared L Katzman, Alexander Cloninger, 2016, BMC Medical Research Methodology.

Fast Interpolation-based t-SNE for Improved Visualization of Single-Cell RNA-Seq Data

Stefan Steinerberger, Jeremy G. Hoskins, Yuval Kluger, 2017, Nature Methods.

Differentiable Unsupervised Feature Selection based on a Gated Laplacian.

Uri Shaham, Yuval Kluger, Ofir Lindenbaum, 2020 .

An implementation of a randomized algorithm for principal component analysis pdf

Mark Tygert, Yuval Kluger, Arthur Szlam, 2014, ArXiv.

Algorithm 971

Mark Tygert, Yuval Kluger, Arthur Szlam, 2017, ACM transactions on mathematical software. Association for Computing Machinery.

Estimating the accuracies of multiple classifiers without labeled data pdf

Yuval Kluger, Boaz Nadler, Ariel Jaffe, 2014, AISTATS.

Characterizing disease states from topological properties of transcriptional regulatory networks

David Tuck, Yuval Kluger, Harriet Kluger, 2006, BMC Bioinformatics.

Deep supervised feature selection using Stochastic Gates

Ofir Lindenbaum, Yuval Kluger, Yutaro Yamada, 2018, ICML.

Personal Position Repertoire (PPR) from a Bird's Eye View

Yuval Kluger, Dina Nir, Avraham N. Kluger, 2008 .

Deep Gated Canonical Correlation Analysis pdf

Amir Averbuch, Ofir Lindenbaum, Yuval Kluger, 2020, ArXiv.

Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations

Stefan Steinerberger, Philipp Berens, Yuval Kluger, 2019, ECML/PKDD.

DeepCyTOF: Automated Cell Classification of Mass Cytometry Data by Deep Learning and Domain Adaptation

Yi Yao, Uri Shaham, Yuval Kluger, 2016 .

Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise pdf

Ronald R. Coifman, Yuval Kluger, Boris Landa, 2020, SIAM J. Math. Data Sci..

The student's dilemma: ranking and improving prediction at test time without access to training data pdf

Yuval Kluger, Boaz Nadler, Francesco Strino, 2013, ArXiv.

Randomized algorithms for distributed computation of principal component analysis and singular value decomposition

Mark Tygert, Yuval Kluger, Huamin Li, 2016, Adv. Comput. Math..

SpectralNet: Spectral Clustering using Deep Neural Networks pdf

Ronen Basri, Uri Shaham, Yuval Kluger, 2018, ICLR.

SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics

Mark Gerstein, Deyou Zheng, Yuval Kluger, 2001, Nucleic Acids Res..

Gating mass cytometry data by deep learning

Yi Yao, Uri Shaham, Yuval Kluger, 2016, bioRxiv.

Let the Data Choose its Features: Differentiable Unsupervised Feature Selection pdf

Uri Shaham, Yuval Kluger, Ofir Lindenbaum, 2020, ArXiv.

Removal of batch effects using distribution‐matching residual networks

Jun Zhao, Uri Shaham, Yuval Kluger, 2016, Bioinform..

Mahalanonbis Distance Informed by Clustering

Ronen Talmon, Yuval Kluger, Almog Lahav, 2017, 1708.03914.

Unraveling condition specific gene transcriptional regulatory networks in Saccharomyces cerevisiae

Hyunsoo Kim, Yuval Kluger, William Hu, 2006, BMC Bioinformatics.

Ranking and combining multiple predictors without labeled data

Yuval Kluger, Boaz Nadler, Francesco Strino, 2013, Proceedings of the National Academy of Sciences.

Unsupervised Ensemble Regression pdf

Erhan Bilal, Yuval Kluger, Boaz Nadler, 2017, ArXiv.

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry

Ronen Talmon, Yuval Kluger, Tal Shnitzer, 2020, bioRxiv.

Spectral neighbor joining for reconstruction of latent tree models pdf

Yuval Kluger, Boaz Nadler, Ariel Jaffe, 2020, ArXiv.

Learning Binary Latent Variable Models: A Tensor Eigenpair Approach

Yuval Kluger, Boaz Nadler, Shai Carmi, 2018, ICML.

Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science

Stefan Steinerberger, Yuval Kluger, George C. Linderman, 2017, ArXiv.

A Deep Learning Approach to Unsupervised Ensemble Learning pdf

Uri Shaham, Yuval Kluger, Boaz Nadler, 2016, ICML.

Defending against Adversarial Images using Basis Functions Transformations pdf

Alexander Cloninger, Uri Shaham, Yuval Kluger, 2018, ArXiv.

Gating mass cytometry data by deep learning

Uri Shaham, Yuval Kluger, Yi Yao, 2017 .

The Spectral Underpinning of word2vec

Ofir Lindenbaum, Stefan Steinerberger, Yuval Kluger, 2020, Frontiers in Applied Mathematics and Statistics.

Data-Driven Tree Transforms and Metrics

Ronald R. Coifman, Israel Cohen, Ronen Talmon, 2017, IEEE Transactions on Signal and Information Processing over Networks.

Identification and correction of spurious spatial correlations in microarray data.

Mark Gerstein, Yuval Kluger, Haiyuan Yu, 2003, BioTechniques.

Deep supervised feature selection using Stochastic Gates pdf

Ofir Lindenbaum, Yuval Kluger, Yutaro Yamada, 2018, ArXiv.

Inter- and intra-combinatorial regulation by transcription factors and microRNAs

Yuval Kluger, Yiming Zhou, John Ferguson, 2007, BMC Genomics.

Unsupervised Ensemble Learning with Dependent Classifiers pdf

Yuval Kluger, Boaz Nadler, Ethan Fetaya, 2015, AISTATS.

Probabilistic Robust Autoencoders for Anomaly Detection pdf

Ofir Lindenbaum, Yuval Kluger, Yariv Aizenbud, 2021, ArXiv.

On the Efficient Evaluation of the Azimuthal Fourier Components of the Green's Function for Helmholtz's Equation in Cylindrical Coordinates pdf

Yuval Kluger, Vladimir Rokhlin, Kirill Serkh, 2021, ArXiv.

Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise

Ronald R. Coifman, Yuval Kluger, Boris Landa, 2021, SIAM J. Math. Data Sci..

Locally Sparse Networks for Interpretable Predictions pdf

Ofir Lindenbaum, Yuval Kluger, Junchen Yang, 2021, ArXiv.

Spectral Top-Down Recovery of Latent Tree Models pdf

Yuval Kluger, Boaz Nadler, Noah Amsel, 2021, Information and inference : a journal of the IMA.

Biwhitening Reveals the Rank of a Count Matrix pdf

Yuval Kluger, Boris Landa, Thomas T.C.K. Zhang, 2021, SIAM Journal on Mathematics of Data Science.

Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated Features pdf

Uri Shaham, Ofir Lindenbaum, Yuval Kluger, 2021, Neural Networks.

FIREWACh: High-throughput Functional Detection of Transcriptional Regulatory Modules in Mammalian Cells

Richard Bonneau, Yuval Kluger, Zuojian Tang, 2014, Nature Methods.

m6A mRNA methylation controls T cell homeostasis by targeting IL-7/STAT5/SOCS pathway

Yuval Kluger, Howard Y. Chang, Richard A. Flavell, 2017, Nature.

Integrated Analysis of Tumor Samples Sheds Light on Tumor Heterogeneity

Yuval Kluger, Peining Li, Mariann Micsinai, 2012, The Yale journal of biology and medicine.

PLX4032, a selective BRAFV600E kinase inhibitor, activates the ERK pathway and enhances cell migration and proliferation of BRAFWT melanoma cells

Michael Krauthammer, Yuval Kluger, Fabio Parisi, 2010, Pigment cell & melanoma research.

Lineage specificity of gene expression patterns.

Yuval Kluger, Joseph T. Chang, Yasuhiro Nakayama, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors

Xun Zhu, Yuval Kluger, Sherman Morton Weissman, 2016, Nucleic acids research.

Structural proteomics of an archaeon

Mark Gerstein, Yuval Kluger, Kalle Gehring, 2000, Nature Structural Biology.

Detecting copy number status and uncovering subclonal markers in heterogeneous tumor biopsies

Yuval Kluger, Peining Li, Fabio Parisi, 2011, BMC Genomics.

PCGF homologs, CBX proteins, and RYBP define functionally distinct PRC1 family complexes.

Yuval Kluger, Danny Reinberg, Fabio Parisi, 2012, Molecular cell.

Gene expression in mature neutrophils: early responses to inflammatory stimuli

Yuval Kluger, Yasuhiro Nakayama, Y. Kluger, 2004, Journal of leukocyte biology.

The RAG2 C-terminus and ATM protect genome integrity by controlling antigen receptor gene cleavage

Iannis Aifantis, Yuval Kluger, Mariann Micsinai, 2013, Nature Communications.

High HSP90 expression is associated with decreased survival in breast cancer.

Yuval Kluger, David L Rimm, Y. Kluger, 2007, Cancer research.

Quantitative assessment of effect of preanalytic cold ischemic time on protein expression in breast cancer tissues.

Yuval Kluger, David L Rimm, Valsamo Anagnostou, 2012, Journal of the National Cancer Institute.

Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models

Yuval Kluger, David L Rimm, Fabio Parisi, 2010, Breast Cancer Research.

Integrative Analysis of Epigenetic Modulation in Melanoma Cell Response to Decitabine: Clinical Implications

Michael Krauthammer, Yuval Kluger, Mattia Pelizzola, 2009, PloS one.

A Tissue Quality Index – an Intrinsic Control for Measurement of Effects of Pre-analytical Variables on FFPE Tissue

Yuval Kluger, Valsamo Anagnostou, David L. Rimm, 2014, Laboratory Investigation.

Higher-order looping and nuclear organization of Tcra facilitate targeted rag cleavage and regulated rearrangement in recombination centers.

Iannis Aifantis, Yuval Kluger, Mariann Micsinai, 2013, Cell reports.

VDA, a Method of Choosing a Better Algorithm with Fewer Validations

Yuval Kluger, Fabio Parisi, Y. Kluger, 2011, PloS one.

Genome-wide remodeling of the epigenetic landscape during myogenic differentiation

Yuval Kluger, Mariann Micsinai, Fabio Parisi, 2011, Proceedings of the National Academy of Sciences.

PD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors

Yuval Kluger, David L Rimm, Gabriela Turcu, 2017, Clinical Cancer Research.

Expression of Aurora A (but Not Aurora B) Is Predictive of Survival in Breast Cancer

Yuval Kluger, David L Rimm, Y. Kluger, 2008, Clinical Cancer Research.

Close proximity to Igh is a contributing factor to AID-mediated translocations.

Yuval Kluger, Mariann Micsinai, Fabio Parisi, 2012, Molecular cell.