Ronald R. Coifman

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 20

Top Topics

Doubly Stochastic

Manifold Learning

Top Venues

SIAM J. Math. Data Sci.

Signal Process.

Publications

David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR (2024)
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR (2023)
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML (2023)
Erez Peterfreund, Iryna Burak, Ofir Lindenbaum, Jim Gimlett, Felix Dietrich, Ronald R. Coifman, Ioannis G. Kevrekidis
Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity. CoRR (2023)
Ronald R. Coifman, Nicholas F. Marshall, Stefan Steinerberger
A Common Variable Minimax Theorem for Graphs. Found. Comput. Math. 23 (2) (2023)
Boris Landa, Ronald R. Coifman, Yuval Kluger
Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise. SIAM J. Math. Data Sci. 3 (1) (2021)
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
Diffusion Earth Mover's Distance and Distribution Embeddings. ICML (2021)
Ronald R. Coifman, Nicholas F. Marshall, Stefan Steinerberger
A common variable minimax theorem for graphs. CoRR (2021)
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
Diffusion Earth Mover's Distance and Distribution Embeddings. CoRR (2021)
Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman
LOCA: LOcal Conformal Autoencoder for standardized data coordinates. CoRR (2020)
Boris Landa, Ronald R. Coifman, Yuval Kluger
Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise. CoRR (2020)
Gal Mishne, Eric C. Chi, Ronald R. Coifman
Co-manifold learning with missing data. ICML (2019)
Gal Mishne, Eric C. Chi, Ronald R. Coifman
Co-manifold learning with missing data. CoRR (2018)
Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
Data-Driven Tree Transforms and Metrics. IEEE Trans. Signal Inf. Process. over Networks 4 (3) (2018)
Xiuyuan Cheng, Alexander Cloninger, Ronald R. Coifman
Two-sample Statistics Based on Anisotropic Kernels. CoRR (2017)
Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
Data-Driven Tree Transforms and Metrics. CoRR (2017)
Ronald R. Coifman, Stefan Steinerberger, Hau-Tieng Wu
Carrier Frequencies, Holomorphy, and Unwinding. SIAM J. Math. Anal. 49 (6) (2017)
Carmeline J. Dsilva, Ronen Talmon, C. William Gear, Ronald R. Coifman, Ioannis G. Kevrekidis
Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems. SIAM J. Appl. Dyn. Syst. 15 (3) (2016)
Or Yair, Ronen Talmon, Ronald R. Coifman, Ioannis G. Kevrekidis
No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries. CoRR (2016)
Gal Mishne, Ronen Talmon, Ron Meir, Jackie Schiller, Maria Lavzin, Uri Dubin, Ronald R. Coifman
Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
Roy R. Lederman, Ronen Talmon, Hau-Tieng Wu, Yu-Lun Lo, Ronald R. Coifman
Alternating diffusion for common manifold learning with application to sleep stage assessment. ICASSP (2015)
Yanbin Lu, Lawrence Carin, Ronald R. Coifman, William Shain, Badrinath Roysam
Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure. Neuroinformatics 13 (1) (2015)
Alexander Cloninger, Ronald R. Coifman, Nicholas Downing, Harlan M. Krumholz
Bigeometric Organization of Deep Nets. CoRR (2015)
Uri Shaham, Alexander Cloninger, Ronald R. Coifman
Provable approximation properties for deep neural networks. CoRR (2015)
Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin, Ronald R. Coifman
Multivariate time-series analysis and diffusion maps. Signal Process. 116 (2015)
Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman
Manifold Learning for Latent Variable Inference in Dynamical Systems. IEEE Trans. Signal Process. 63 (15) (2015)
Ángela Fernández, Neta Rabin, Ronald R. Coifman, Joseph Eckstein
Diffusion methods for aligning medical datasets: Location prediction in CT scan images. Medical Image Anal. 18 (2) (2014)
Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry, Muriel Doret
Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. EMBC (2014)
Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
Graph-based bayesian approach for transient interference suppression. EUSIPCO (2013)
Yanbin Lu, Kristen Trett, William Shain, Lawrence Carin, Ronald R. Coifman, Badrinath Roysam
Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements. ISBI (2013)
Ronen Talmon, Yoel Shkolnisky, Ronald R. Coifman
Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging. GSI (2013)
Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs. IEEE Signal Process. Mag. 30 (4) (2013)
Ronald R. Coifman, Matthew J. Hirn
Diffusion maps for changing data CoRR (2012)
Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
Supervised Graph-Based Processing for Sequential Transient Interference Suppression. IEEE Trans. Speech Audio Process. 20 (9) (2012)
Neta Rabin, Ronald R. Coifman
Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids. SDM (2012)
Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Israel Cohen, Sharon Gannot
Parametrization of Linear Systems Using Diffusion Kernels. IEEE Trans. Signal Process. 60 (3) (2012)
Ronald R. Coifman, Matthew J. Hirn
Bi-stochastic kernels via asymmetric affinity functions CoRR (2012)
Matan Gavish, Boaz Nadler, Ronald R. Coifman
Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning. ICML (2010)
Gil David, Amir Averbuch, Ronald R. Coifman
Hierarchical Clustering Via Localized Diffusion Folders. AAAI Fall Symposium: Manifold Learning and Its Applications (2010)
Yosi Keller, Ronald R. Coifman, Stéphane Lafon, Steven W. Zucker
Audio-visual group recognition using diffusion maps. IEEE Trans. Signal Process. 58 (1) (2010)
Ronald R. Coifman, Ioannis G. Kevrekidis, Stéphane Lafon, Mauro Maggioni, Boaz Nadler
Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems. Multiscale Model. Simul. 7 (2) (2008)
Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky
A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform. SIAM J. Sci. Comput. 30 (2) (2008)
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
Regularization on Graphs with Function-adapted Diffusion Processes. J. Mach. Learn. Res. 9 (2008)
Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky, Ilya Sedelnikov
A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform. SIAM J. Sci. Comput. 30 (2) (2008)
Ronald R. Coifman, Yoel Shkolnisky, Fred J. Sigworth, Amit Singer
Graph Laplacian Tomography From Unknown Random Projections. IEEE Trans. Image Process. 17 (10) (2008)
Gregory Hagen, Troy Smith, Andrzej Banaszuk, Ronald R. Coifman, Igor Mezic
Validation of low-dimensional models using diffusion maps and harmonic averaging. CDC (2007)
Leslie S. Prichep, Elvir Causevic, Ronald R. Coifman, Robert Isenhart, Arnaud E. Jacquin, E. Roy John, Mauro Maggioni, Fred Warner
Qeeg-Based Classification With Wavelet Packet and Microstate Features for Triage Applications in the ER. ICASSP (3) (2006)
Stéphane Lafon, Yosi Keller, Ronald R. Coifman
Data Fusion and Multicue Data Matching by Diffusion Maps. IEEE Trans. Pattern Anal. Mach. Intell. 28 (11) (2006)
Boaz Nadler, Stéphane Lafon, Ronald R. Coifman, Ioannis G. Kevrekidis
Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators. NIPS (2005)
Umesh Vaidya, Gregory Hagen, Stéphane Lafon, Andrzej Banaszuk, Igor Mezic, Ronald R. Coifman
Comparison of Systems using Diffusion Maps. CDC/ECC (2005)
Nasir M. Rajpoot, Roland G. Wilson, François G. Meyer, Ronald R. Coifman
Adaptive wavelet packet basis selection for zerotree image coding. IEEE Trans. Image Process. 12 (12) (2003)
Naoki Saito, Ronald R. Coifman, Frank B. Geshwind, Fred Warner
Discriminant feature extraction using empirical probability density estimation and a local basis library. Pattern Recognit. 35 (12) (2002)
François G. Meyer, Amir Averbuch, Ronald R. Coifman
Multilayered image representation: application to image compression. IEEE Trans. Image Process. 11 (9) (2002)
Ronald R. Coifman, Artur Sowa
New Methods of Controlled Total Variation Reduction for Digital Functions. SIAM J. Numer. Anal. 39 (2) (2001)
Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman
A new basis selection paradigm for wavelet packet image coding. ICIP (3) (2001)
Amir Averbuch, François G. Meyer, Jan-Olov Strömberg, Ronald R. Coifman, Anthony Vassiliou
Low bit-rate efficient compression for seismic data. IEEE Trans. Image Process. 10 (12) (2001)
Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman
On Zerotree Quantization for Embedded Wavelet Packet Image Coding. ICIP (2) (1999)
François G. Meyer, Amir Averbuch, Jan-Olov Strömberg, Ronald R. Coifman
Multi-Layered Image Representation: Application to Image Compression. ICIP (2) (1998)
François G. Meyer, Amir Averbuch, Jan-Olov Strömberg, Ronald R. Coifman
Fast Wavelet Packet Image Compression. Data Compression Conference (1998)
François G. Meyer, Amir Averbuch, Ronald R. Coifman
Motion Compensation of Wavelet Coefficients for Very Low Bit Rate Coding. ICIP (3) (1997)
François G. Meyer, Ronald R. Coifman
Adaptive directional image compression with oriented wavelets. ICIP (1) (1996)
Naoki Saito, Ronald R. Coifman
Local discriminant bases and their applications. J. Math. Imaging Vis. 5 (4) (1995)
Igor Popovic, Ronald R. Coifman, Jonathan Berger
Aspects of Pitch-Tracking and Timbre Separation: Feature Detection in Digital Audio Using Adapted Local Trigonometric Bases and Wavelet Packages. ICMC (1995)
Naoki Saito, Ronald R. Coifman
On local orthonormal bases for classification and regression. ICASSP (1995)
Jonathan Berger, Maxim J. Goldberg, Ronald R. Coifman
A Two-Stage Automatic Adaptive Process to Remove Noise from an Audio Signal. ICMC (1995)
Jonathan Berger, Maxim J. Goldberg, Ronald R. Coifman
A Method of Denoising and Reconstructing Audio Signals. ICMC (1994)
Bradley K. Alpert, Gregory Beylkin, Ronald R. Coifman, Vladimir Rokhlin
Wavelet-Like Bases for the Fast Solution of Second-Kind Integral Equations. SIAM J. Sci. Comput. 14 (1) (1993)
Gil Aharoni, Amir Averbuch, Ronald R. Coifman, Moshe Israeli
Local cosine transform - a method for the reduction of the blocking effect in JPEG. J. Math. Imaging Vis. 3 (1) (1993)
Ronald R. Coifman, M. Victor Wickerhauser
Entropy-based algorithms for best basis selection. IEEE Trans. Inf. Theory 38 (2) (1992)