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Ofir Lindenbaum

Showing results (1-10 of 14) with videos related to

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Neuroinformatics|July 8, 2024
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and MiceOfek Ophir, Orit Shefi, Ofir Lindenbaum
Neural Networks : the Official Journal of the International Neural Network Society|May 2, 2022
Deep unsupervised feature selection by discarding nuisance and correlated featuresUri Shaham, Ofir Lindenbaum, Jonathan Svirsky, et al.
Proceedings of Machine Learning Research|February 2, 2026
Multi-modal Differentiable Unsupervised Feature SelectionJunchen Yang, Ofir Lindenbaum, Yuval Kluger, et al.
Data Mining and Knowledge Discovery|August 25, 2020
Gaussian bandwidth selection for manifold learning and classificationOfir Lindenbaum, Moshe Salhov, Arie Yeredor, et al.
Chaos (Woodbury, N.Y.)|July 12, 2021
Kernel-based parameter estimation of dynamical systems with unknown observation functionsOfir Lindenbaum, Amir Sagiv, Gal Mishne, et al.
Nucleic Acids Research|December 17, 2020
Alignment free identification of clones in B cell receptor repertoiresOfir Lindenbaum, Nima Nouri, Yuval Kluger, et al.
Nucleic Acids Research|July 12, 2025
Enhancing sequence alignment of adaptive immune receptors through multi-task deep learningThomas Konstantinovsky, Ayelet Peres, Ran Eisenberg, et al.
Frontiers in Applied Mathematics and Statistics|September 10, 2021
The Spectral Underpinning of word2vecAriel Jaffe, Yuval Kluger, Ofir Lindenbaum, et al.
Biorxiv : the Preprint Server for Biology|December 17, 2025
DiCoLo: Integration-free and cluster-free detection of localized differential gene co-expression in single-cell dataRuiqi Li, Junchen Yang, Pei-Chun Su, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Principled PCA separates signal from noise in omics count dataJay S Stanley, Junchen Yang, Ruiqi Li, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Neuroinformatics|July 8, 2024
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and MiceOfek Ophir, Orit Shefi, Ofir Lindenbaum
Neural Networks : the Official Journal of the International Neural Network Society|May 2, 2022
Deep unsupervised feature selection by discarding nuisance and correlated featuresUri Shaham, Ofir Lindenbaum, Jonathan Svirsky, et al.
Proceedings of Machine Learning Research|February 2, 2026
Multi-modal Differentiable Unsupervised Feature SelectionJunchen Yang, Ofir Lindenbaum, Yuval Kluger, et al.
Data Mining and Knowledge Discovery|August 25, 2020
Gaussian bandwidth selection for manifold learning and classificationOfir Lindenbaum, Moshe Salhov, Arie Yeredor, et al.
Chaos (Woodbury, N.Y.)|July 12, 2021
Kernel-based parameter estimation of dynamical systems with unknown observation functionsOfir Lindenbaum, Amir Sagiv, Gal Mishne, et al.
Nucleic Acids Research|December 17, 2020
Alignment free identification of clones in B cell receptor repertoiresOfir Lindenbaum, Nima Nouri, Yuval Kluger, et al.
Nucleic Acids Research|July 12, 2025
Enhancing sequence alignment of adaptive immune receptors through multi-task deep learningThomas Konstantinovsky, Ayelet Peres, Ran Eisenberg, et al.
Frontiers in Applied Mathematics and Statistics|September 10, 2021
The Spectral Underpinning of word2vecAriel Jaffe, Yuval Kluger, Ofir Lindenbaum, et al.
Biorxiv : the Preprint Server for Biology|December 17, 2025
DiCoLo: Integration-free and cluster-free detection of localized differential gene co-expression in single-cell dataRuiqi Li, Junchen Yang, Pei-Chun Su, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Principled PCA separates signal from noise in omics count dataJay S Stanley, Junchen Yang, Ruiqi Li, et al.
Pageof 2