Ronald Coifman

Mathematics Yale University, New Haven, CT 
"Ronald Coifman"


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Gilad M. Lerman grad student 2000 Yale
Michel R. Nahon grad student 2000 Yale
Andreas C. Coppi grad student 2001 Yale
Stephane S. Lafon grad student 2004 Yale
James C. Bremer grad student 2007 Yale
Dominique Duncan grad student 2013 Yale
Jerrod I. Ankenman grad student 2014 Yale
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Mishne G, Talmon R, Cohen I, et al. (2018) Data-Driven Tree Transforms and Metrics. Ieee Transactions On Signal and Information Processing Over Networks. 4: 451-466
Yair O, Talmon R, Coifman RR, et al. (2017) Reconstruction of normal forms by learning informed observation geometries from data. Proceedings of the National Academy of Sciences of the United States of America
Dhruva SS, Huang C, Spatz ES, et al. (2017) Heterogeneity in Early Responses in ALLHAT (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial). Hypertension (Dallas, Tex. : 1979)
Lu Y, Carin L, Coifman R, et al. (2015) Quantitative arbor analytics: unsupervised harmonic co-clustering of populations of brain cell arbors based on L-measure. Neuroinformatics. 13: 47-63
Talmon R, Mallat S, Zaveri H, et al. (2015) Manifold Learning for Latent Variable Inference in Dynamical Systems Ieee Transactions On Signal Processing. 63: 3843-3856
Lederman RR, Talmon R, Wu HT, et al. (2015) Alternating diffusion for common manifold learning with application to sleep stage assessment Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2015: 5758-5762
Lian W, Talmon R, Zaveri H, et al. (2015) Multivariate time-series analysis and diffusion maps Signal Processing. 116: 13-28
Shaham U, Cloninger A, Coifman RR. (2015) Provable approximation properties for deep neural networks Applied and Computational Harmonic Analysis
Dsilva CJ, Talmon R, Coifman RR, et al. (2015) Parsimonious representation of nonlinear dynamical systems through manifold learning: A chemotaxis case study Applied and Computational Harmonic Analysis
Talmon R, Coifman RR. (2015) Intrinsic modeling of stochastic dynamical systems using empirical geometry Applied and Computational Harmonic Analysis. 39: 138-160
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