Ronald R. Coifman

According to our database1, Ronald R. Coifman authored at least 63 papers between 1992 and 2024.

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Bibliography

2024
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them.
CoRR, 2024

2023
A Common Variable Minimax Theorem for Graphs.
Found. Comput. Math., April, 2023

Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity.
CoRR, 2023

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning.
Proceedings of the International Conference on Machine Learning, 2023

2021
Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise.
SIAM J. Math. Data Sci., 2021

Diffusion Earth Mover's Distance and Distribution Embeddings.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
LOCA: LOcal Conformal Autoencoder for standardized data coordinates.
CoRR, 2020

2019
Co-manifold learning with missing data.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Data-Driven Tree Transforms and Metrics.
IEEE Trans. Signal Inf. Process. over Networks, 2018

2017
Carrier Frequencies, Holomorphy, and Unwinding.
SIAM J. Math. Anal., 2017

Two-sample Statistics Based on Anisotropic Kernels.
CoRR, 2017

2016
Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems.
SIAM J. Appl. Dyn. Syst., 2016

Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery.
IEEE J. Sel. Top. Signal Process., 2016

No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries.
CoRR, 2016

2015
Manifold Learning for Latent Variable Inference in Dynamical Systems.
IEEE Trans. Signal Process., 2015

Multivariate time-series analysis and diffusion maps.
Signal Process., 2015

Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure.
Neuroinformatics, 2015

Provable approximation properties for deep neural networks.
CoRR, 2015

Bigeometric Organization of Deep Nets.
CoRR, 2015

Alternating diffusion for common manifold learning with application to sleep stage assessment.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Diffusion methods for aligning medical datasets: Location prediction in CT scan images.
Medical Image Anal., 2014

Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs.
IEEE Signal Process. Mag., 2013

Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Graph-based bayesian approach for transient interference suppression.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Parametrization of Linear Systems Using Diffusion Kernels.
IEEE Trans. Signal Process., 2012

Supervised Graph-Based Processing for Sequential Transient Interference Suppression.
IEEE Trans. Speech Audio Process., 2012

Diffusion maps for changing data
CoRR, 2012

Bi-stochastic kernels via asymmetric affinity functions
CoRR, 2012

Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2010
Audio-visual group recognition using diffusion maps.
IEEE Trans. Signal Process., 2010

Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Hierarchical Clustering Via Localized Diffusion Folders.
Proceedings of the Manifold Learning and Its Applications, 2010

2008
Graph Laplacian Tomography From Unknown Random Projections.
IEEE Trans. Image Process., 2008

A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform.
SIAM J. Sci. Comput., 2008

A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform.
SIAM J. Sci. Comput., 2008

Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems.
Multiscale Model. Simul., 2008

Regularization on Graphs with Function-adapted Diffusion Processes.
J. Mach. Learn. Res., 2008

2007
Validation of low-dimensional models using diffusion maps and harmonic averaging.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Data Fusion and Multicue Data Matching by Diffusion Maps.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Qeeg-Based Classification With Wavelet Packet and Microstate Features for Triage Applications in the ER.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Comparison of Systems using Diffusion Maps.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2003
Adaptive wavelet packet basis selection for zerotree image coding.
IEEE Trans. Image Process., 2003

2002
Multilayered image representation: application to image compression.
IEEE Trans. Image Process., 2002

Discriminant feature extraction using empirical probability density estimation and a local basis library.
Pattern Recognit., 2002

2001
Low bit-rate efficient compression for seismic data.
IEEE Trans. Image Process., 2001

New Methods of Controlled Total Variation Reduction for Digital Functions.
SIAM J. Numer. Anal., 2001

A new basis selection paradigm for wavelet packet image coding.
Proceedings of the 2001 International Conference on Image Processing, 2001

1999
On Zerotree Quantization for Embedded Wavelet Packet Image Coding.
Proceedings of the 1999 International Conference on Image Processing, 1999

1998
Multi-Layered Image Representation: Application to Image Compression.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Fast Wavelet Packet Image Compression.
Proceedings of the Data Compression Conference, 1998

1997
Motion Compensation of Wavelet Coefficients for Very Low Bit Rate Coding.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
Adaptive directional image compression with oriented wavelets.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
Local discriminant bases and their applications.
J. Math. Imaging Vis., 1995

Aspects of Pitch-Tracking and Timbre Separation: Feature Detection in Digital Audio Using Adapted Local Trigonometric Bases and Wavelet Packages.
Proceedings of the 1995 International Computer Music Conference, 1995

A Two-Stage Automatic Adaptive Process to Remove Noise from an Audio Signal.
Proceedings of the 1995 International Computer Music Conference, 1995

On local orthonormal bases for classification and regression.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
A Method of Denoising and Reconstructing Audio Signals.
Proceedings of the 1994 International Computer Music Conference, 1994

1993
Wavelet-Like Bases for the Fast Solution of Second-Kind Integral Equations.
SIAM J. Sci. Comput., 1993

Local cosine transform - a method for the reduction of the blocking effect in JPEG.
J. Math. Imaging Vis., 1993

1992
Entropy-based algorithms for best basis selection.
IEEE Trans. Inf. Theory, 1992


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