Ronald R. Coifman

75 papers A* 5A 1B 1Misc 2Journal 49Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2025	J	`jnl`	From clutter to clarity: Emergent neural operators via questionnaire metrics. Comput. Chem. Eng. Anastasia S. Georgiou, Arjun Manoj, Pei-Chun Su, Ronald R. Coifman, Ioannis G. Kevrekidis, Somdatta Goswami
2025	J	`jnl`	Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity. CoRR Oluwadamilola Fasina, Ruben V. C. Pohle, Pei-Chun Su, Ronald R. Coifman
2025	J	`jnl`	Learning the Analytic Geometry of Transformations to Achieve Efficient Computation. CoRR Pei-Chun Su, Ronald R. Coifman
2025	A*	`conf`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. ICLR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2024	J	`jnl`	On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
2024	J	`jnl`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	J	`jnl`	A Common Variable Minimax Theorem for Graphs. Found. Comput. Math. Ronald R. Coifman, Nicholas F. Marshall, Stefan Steinerberger
2023	J	`jnl`	Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity. CoRR Erez Peterfreund, Iryna Burak, Ofir Lindenbaum, Jim Gimlett, Felix Dietrich, Ronald R. Coifman, Ioannis G. Kevrekidis
2023	A*	`conf`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	J	`jnl`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2021	J	`jnl`	A common variable minimax theorem for graphs. CoRR Ronald R. Coifman, Nicholas F. Marshall, Stefan Steinerberger
2021	A*	`conf`	Diffusion Earth Mover's Distance and Distribution Embeddings. ICML Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
2021	J	`jnl`	Diffusion Earth Mover's Distance and Distribution Embeddings. CoRR Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
2021	J	`jnl`	Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise. SIAM J. Math. Data Sci. Boris Landa, Ronald R. Coifman, Yuval Kluger
2020	J	`jnl`	Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise. CoRR Boris Landa, Ronald R. Coifman, Yuval Kluger
2020	J	`jnl`	LOCA: LOcal Conformal Autoencoder for standardized data coordinates. CoRR Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman
2019	A*	`conf`	Co-manifold learning with missing data. ICML Gal Mishne, Eric C. Chi, Ronald R. Coifman
2018	J	`jnl`	Co-manifold learning with missing data. CoRR Gal Mishne, Eric C. Chi, Ronald R. Coifman
2018	J	`jnl`	Data-Driven Tree Transforms and Metrics. IEEE Trans. Signal Inf. Process. over Networks Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
2017	J	`jnl`	Carrier Frequencies, Holomorphy, and Unwinding. SIAM J. Math. Anal. Ronald R. Coifman, Stefan Steinerberger, Hau-Tieng Wu
2017	J	`jnl`	Data-Driven Tree Transforms and Metrics. CoRR Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
2017	J	`jnl`	Two-sample Statistics Based on Anisotropic Kernels. CoRR Xiuyuan Cheng, Alexander Cloninger, Ronald R. Coifman
2016	J	`jnl`	Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems. SIAM J. Appl. Dyn. Syst. Carmeline J. Dsilva, Ronen Talmon, C. William Gear, Ronald R. Coifman, Ioannis G. Kevrekidis
2016	J	`jnl`	Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery. IEEE J. Sel. Top. Signal Process. Gal Mishne, Ronen Talmon, Ron Meir, Jackie Schiller, Maria Lavzin, Uri Dubin, Ronald R. Coifman
2016	J	`jnl`	No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries. CoRR Or Yair, Ronen Talmon, Ronald R. Coifman, Ioannis G. Kevrekidis
2015	Misc	`conf`	Alternating diffusion for common manifold learning with application to sleep stage assessment. ICASSP Roy R. Lederman, Ronen Talmon, Hau-Tieng Wu, Yu-Lun Lo, Ronald R. Coifman
2015	J	`jnl`	Bigeometric Organization of Deep Nets. CoRR Alexander Cloninger, Ronald R. Coifman, Nicholas Downing, Harlan M. Krumholz
2015	J	`jnl`	Manifold Learning for Latent Variable Inference in Dynamical Systems. IEEE Trans. Signal Process. Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman
2015	J	`jnl`	Multivariate time-series analysis and diffusion maps. Signal Process. Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin, Ronald R. Coifman
2015	J	`jnl`	Provable approximation properties for deep neural networks. CoRR Uri Shaham, Alexander Cloninger, Ronald R. Coifman
2015	J	`jnl`	Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure. Neuroinformatics Yanbin Lu, Lawrence Carin, Ronald R. Coifman, William Shain, Badrinath Roysam
2014	J	`jnl`	Diffusion methods for aligning medical datasets: Location prediction in CT scan images. Medical Image Anal. Ángela Fernández, Neta Rabin, Ronald R. Coifman, Joseph Eckstein
2014	—	`conf`	Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. EMBC Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry, Muriel Doret
2013	J	`jnl`	Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs. IEEE Signal Process. Mag. Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
2013	—	`conf`	Graph-based bayesian approach for transient interference suppression. EUSIPCO Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
2013	—	`conf`	Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging. GSI Ronen Talmon, Yoel Shkolnisky, Ronald R. Coifman
2013	—	`conf`	Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements. ISBI Yanbin Lu, Kristen Trett, William Shain, Lawrence Carin, Ronald R. Coifman, Badrinath Roysam
2012	J	`jnl`	Bi-stochastic kernels via asymmetric affinity functions CoRR Ronald R. Coifman, Matthew J. Hirn
2012	J	`jnl`	Diffusion maps for changing data CoRR Ronald R. Coifman, Matthew J. Hirn
2012	A	`conf`	Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids. SDM Neta Rabin, Ronald R. Coifman
2012	J	`jnl`	Parametrization of Linear Systems Using Diffusion Kernels. IEEE Trans. Signal Process. Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Israel Cohen, Sharon Gannot
2012	J	`jnl`	Supervised Graph-Based Processing for Sequential Transient Interference Suppression. IEEE Trans. Speech Audio Process. Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
2010	J	`jnl`	Audio-visual group recognition using diffusion maps. IEEE Trans. Signal Process. Yosi Keller, Ronald R. Coifman, Stéphane Lafon, Steven W. Zucker
2010	—	`conf`	Hierarchical Clustering Via Localized Diffusion Folders. AAAI Fall Symposium: Manifold Learning and Its Applications Gil David, Amir Averbuch, Ronald R. Coifman
2010	A*	`conf`	Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning. ICML Matan Gavish, Boaz Nadler, Ronald R. Coifman
2008	J	`jnl`	A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform. SIAM J. Sci. Comput. Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky
2008	J	`jnl`	A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform. SIAM J. Sci. Comput. Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky, Ilya Sedelnikov
2008	J	`jnl`	Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems. Multiscale Model. Simul. Ronald R. Coifman, Ioannis G. Kevrekidis, Stéphane Lafon, Mauro Maggioni, Boaz Nadler
2008	J	`jnl`	Graph Laplacian Tomography From Unknown Random Projections. IEEE Trans. Image Process. Ronald R. Coifman, Yoel Shkolnisky, Fred J. Sigworth, Amit Singer
2008	J	`jnl`	Regularization on Graphs with Function-adapted Diffusion Processes. J. Mach. Learn. Res. Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
2007	—	`conf`	Validation of low-dimensional models using diffusion maps and harmonic averaging. CDC Gregory Hagen, Troy Smith, Andrzej Banaszuk, Ronald R. Coifman, Igor Mezic
2006	J	`jnl`	Data Fusion and Multicue Data Matching by Diffusion Maps. IEEE Trans. Pattern Anal. Mach. Intell. Stéphane Lafon, Yosi Keller, Ronald R. Coifman
2006	—	`conf`	Qeeg-Based Classification With Wavelet Packet and Microstate Features for Triage Applications in the ER. ICASSP (3) Leslie S. Prichep, Elvir Causevic, Ronald R. Coifman, Robert Isenhart, Arnaud E. Jacquin, E. Roy John, Mauro Maggioni, Fred Warner
2005	—	`conf`	Comparison of Systems using Diffusion Maps. CDC/ECC Umesh Vaidya, Gregory Hagen, Stéphane Lafon, Andrzej Banaszuk, Igor Mezic, Ronald R. Coifman
2005	—	`conf`	Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators. NIPS Boaz Nadler, Stéphane Lafon, Ronald R. Coifman, Ioannis G. Kevrekidis
2003	J	`jnl`	Adaptive wavelet packet basis selection for zerotree image coding. IEEE Trans. Image Process. Nasir M. Rajpoot, Roland G. Wilson, François G. Meyer, Ronald R. Coifman
2002	J	`jnl`	Discriminant feature extraction using empirical probability density estimation and a local basis library. Pattern Recognit. Naoki Saito, Ronald R. Coifman, Frank B. Geshwind, Fred Warner
2002	J	`jnl`	Multilayered image representation: application to image compression. IEEE Trans. Image Process. François G. Meyer, Amir Averbuch, Ronald R. Coifman
2001	—	`conf`	A new basis selection paradigm for wavelet packet image coding. ICIP (3) Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman
2001	J	`jnl`	Low bit-rate efficient compression for seismic data. IEEE Trans. Image Process. Amir Averbuch, François G. Meyer, Jan-Olov Strömberg, Ronald R. Coifman, Anthony Vassiliou
2001	J	`jnl`	New Methods of Controlled Total Variation Reduction for Digital Functions. SIAM J. Numer. Anal. Ronald R. Coifman, Artur Sowa
1999	—	`conf`	On Zerotree Quantization for Embedded Wavelet Packet Image Coding. ICIP (2) Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman
1998	B	`conf`	Fast Wavelet Packet Image Compression. Data Compression Conference François G. Meyer, Amir Averbuch, Jan-Olov Strömberg, Ronald R. Coifman
1998	—	`conf`	Multi-Layered Image Representation: Application to Image Compression. ICIP (2) François G. Meyer, Amir Averbuch, Jan-Olov Strömberg, Ronald R. Coifman
1997	—	`conf`	Motion Compensation of Wavelet Coefficients for Very Low Bit Rate Coding. ICIP (3) François G. Meyer, Amir Averbuch, Ronald R. Coifman
1996	—	`conf`	Adaptive directional image compression with oriented wavelets. ICIP (1) François G. Meyer, Ronald R. Coifman
1995	—	`conf`	A Two-Stage Automatic Adaptive Process to Remove Noise from an Audio Signal. ICMC Jonathan Berger, Maxim J. Goldberg, Ronald R. Coifman
1995	—	`conf`	Aspects of Pitch-Tracking and Timbre Separation: Feature Detection in Digital Audio Using Adapted Local Trigonometric Bases and Wavelet Packages. ICMC Igor Popovic, Ronald R. Coifman, Jonathan Berger
1995	J	`jnl`	Local discriminant bases and their applications. J. Math. Imaging Vis. Naoki Saito, Ronald R. Coifman
1995	Misc	`conf`	On local orthonormal bases for classification and regression. ICASSP Naoki Saito, Ronald R. Coifman
1994	—	`conf`	A Method of Denoising and Reconstructing Audio Signals. ICMC Jonathan Berger, Maxim J. Goldberg, Ronald R. Coifman
1993	J	`jnl`	Local cosine transform - a method for the reduction of the blocking effect in JPEG. J. Math. Imaging Vis. Gil Aharoni, Amir Averbuch, Ronald R. Coifman, Moshe Israeli
1993	J	`jnl`	Wavelet-Like Bases for the Fast Solution of Second-Kind Integral Equations. SIAM J. Sci. Comput. Bradley K. Alpert, Gregory Beylkin, Ronald R. Coifman, Vladimir Rokhlin
1992	J	`jnl`	Entropy-based algorithms for best basis selection. IEEE Trans. Inf. Theory Ronald R. Coifman, M. Victor Wickerhauser