
Papers Published
 M Maggioni, Geometry of Data and Biology,
Notices of the American Mathematical Society, vol. 62 no. 10
(November, 2015),
pp. 11851188, ISSN 00029920 [doi]
 M Maggioni, S Minsker and N Strawn, Geometric multiresolution analysis for dictionary learning,
Proceedings of SPIE  The International Society for Optical Engineering, vol. 9597
(January, 2015), ISSN 0277786X, ISBN 9781628417630 [doi] [abs]
 M. Maggioni, S. Minsker, N. Strawn, Multiscale Dictionary and Manifold Learning: NonAsymptotic Bounds for the Geometric MultiResolution Analysis,
in Proc. iTWIST’14: international  Traveling Workshop on Interactions between Sparse models and Technology
(August, 2014)
 N Altemose, KH Miga, M Maggioni and HF Willard, Genomic characterization of large heterochromatic gaps in the human genome assembly.,
PLoS computational biology, vol. 10 no. 5
(May, 2014),
pp. e1003628, ISSN 1553734X [doi] [abs]
 M. Maggioni, Geometric Estimation of Probability Measures in HighDimensions,
Proc. IEEE Asilomar Conference
(November, 2013)
 A Coppola, BR Wenner, O Ilkayeva, RD Stevens, M Maggioni, TA Slotkin, ED Levin and CB Newgard, Branchedchain amino acids alter neurobehavioral function in rats.,
Am J Physiol Endocrinol Metab, vol. 304 no. 4
(February, 2013),
pp. E405E413 [23249694], [doi] [abs]
 M Maggioni, Geometric estimation of probability measures in highdimensions,
Conference Record  Asilomar Conference on Signals, Systems and Computers
(January, 2013),
pp. 13631367, ISSN 10586393 [doi] [abs]
 K Krishnamurthy, A Mrozack, M Maggioni and D Brady, Multiscale, dictionarybased speckle denoising,
in Proc. Computational Optical Sensing and Imaging,
Optics InfoBase Conference Papers
(January, 2013), ISBN 9781557529756 [doi] [abs]
 G. Chen, A.V. Little, M. Maggioni, MultiResolution Geometric Analysis for Data in High Dimensions,
in Excursions in Harmonic Analysis, vol. 1
(2013), Birkhaüser Boston, ISBN 9780817683757 [doi]
 S Gerber and M Maggioni, Multiscale dictionaries, transforms, and learning in highdimensions,
WAVELETS AND SPARSITY XV, vol. 8858
(2013), ISSN 0277786X [Gateway.cgi], [doi]
 MA Iwen and M Maggioni, Approximation of Points on LowDimensional Manifolds Via Random Linear
Projections,
arxiv, vol. 2
(February, 2013) [1204.3337v1], [doi] [abs]
 M Maggioni, What is...data mining?,
A.M.S. Notices
(April, 2012) [pdf]
 J Bouvrie and M Maggioni, Efficient solution of Markov decision problems with multiscale representations,
2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012
(2012),
pp. 474481 [doi] [abs]
 JV Bouvrie and M Maggioni, Geometric multiscale reduction for autonomous and controlled nonlinear systems.,
in Proc. IEEE Conference on Decision and Control (CDC),
CDC
(2012),
pp. 43204327, IEEE, ISBN 9781467320658 [mostRecentIssue.jsp], [doi]
 G Chen, MA Iwen, S Chin and M Maggioni, A fast multiscale framework for data in highdimensions: Measure estimation, anomaly detection, and compressive measurements.,
VCIP
(2012),
pp. 16, IEEE, ISBN 9781467344050 [mostRecentIssue.jsp], [doi]
 WK Allard, G Chen and M Maggioni, Multiscale geometric methods for data sets II: Geometric MultiResolution Analysis,
Applied and Computational Harmonic Analysis, vol. 32 no. 3
(2012),
pp. 435462, ISSN 10635203 [doi] [abs]
 W Zheng, MA Rohrdanz, M Maggioni and C Clementi, Polymer reversal rate calculated via locally scaled diffusion map.,
J Chem Phys, vol. 134 no. 14
(2011),
pp. 144109 [21495744], [doi] [abs]
 MA Rohrdanz, W Zheng, M Maggioni and C Clementi, Determination of reaction coordinates via locally scaled diffusion map.,
J Chem Phys, vol. 134 no. 12
(2011),
pp. 124116 [21456654], [doi] [abs]
 G. Chen, A.V. Little, M. Maggioni, L. Rosasco, Some recent advances in multiscale geometric analysis of point clouds,
in Wavelets and Multiscale Analysis: Theory and Applications
(March, 2011), Springer
 G. Chen, M. Maggioni, Multiscale Analysis of Plane Arrangements,
in Proc. C.V.P.R.
(2011)
 G. Chen, M. Maggioni, Multiscale Geometric Dictionaries for pointcloud data,
Proc. SampTA 2011
(2011)
 G Chen and M Maggioni, Multiscale geometric and spectral analysis of plane arrangements,
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(2011),
pp. 28252832, ISSN 10636919 [doi] [abs]
 WK Allard, G Chen and M Maggioni, Multiscale Geometric Methods for Data Sets II: Geometric Wavelets,
CoRR, vol. abs/1105.4924 no. 3
(2012)
 Eric E Monson, Rachael Brady, Guangliang Chen, Mauro Maggioni, Exploration & Representation of Data with Geometric Wavelets,
Poster and short paper at Visweek 2010
(2010)
 J. Lee, M. Maggioni, Multiscale Analysis of Time Series of Graphs,
Proc. SampTA 2011
(2010)
 A.V. Little, M. Maggioni, L. Rosasco, Multiscale Geometric Methods for estimating intrinsic dimension,
Proc. SampTA 2011
(2010)
 W Willinger, R Rejaie, M Torkjazi, M Valafar and M Maggioni, Research on online social networks: Time to face the real challenges,
Performance Evaluation Review, vol. 37 no. 3
(2010),
pp. 4954, ISSN 01635999 [doi] [abs]
 EE Monson, G Chen, R Brady and M Maggioni, Data representation and exploration with geometric wavelets,
VAST 10  IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
(2010),
pp. 243244 [doi] [abs]
 Q Wu, J Guinney, M Maggioni and S Mukherjee, Learning gradients: Predictive models that infer geometry and statistical dependence,
Journal of Machine Learning Research, vol. 11
(August, 2010),
pp. 21752198, ISSN 15324435 [repository] [abs]
 G Chen and M Maggioni, Multiscale geometric wavelets for the analysis of point clouds,
2010 44th Annual Conference on Information Sciences and Systems, CISS 2010
(February, 2010) [doi] [abs]
 J Guinney, P Febbo, M Maggioni and S Mukherjee, Multiscale factor models for molecular networks,
JSM Proc.
(2010),
pp. 48874901, American Statistical Association, Alexandria, VA
 AV Little, J Lee, YM Jung and M Maggioni, Estimation of intrinsic dimensionality of samples from noisy lowdimensional manifolds in high dimensions with multiscale SVD,
IEEE Workshop on Statistical Signal Processing Proceedings
(2009),
pp. 8588 [doi] [abs]
 AV Little, YM Jung and M Maggioni, Multiscale estimation of intrinsic dimensionality of data sets,
AAAI Fall Symposium  Technical Report, vol. FS0904
(2009),
pp. 2633 [abs]
 AD Szlam, RR Coifman and M Maggioni, A general framework for adaptive regularization based on diffusion processes,
Journ. Mach. Learn. Res. no. 9
(August, 2008),
pp. 17111739
 PW Jones, M Maggioni and R Schul, Manifold parametrizations by eigenfunctions of the Laplacian and heat kernels.,
Proc Natl Acad Sci U S A, vol. 105 no. 6
(2008),
pp. 18031808 [18258744], [doi] [abs]
 MW Mahoney, M Maggioni and P Drineas, TensorCUR decompositions for tensorbased data,
SIAM Journal on Matrix Analysis and Applications, vol. 30 no. 3
(2008),
pp. 957987, ISSN 08954798 [doi] [abs]
 AD Szlam, M Maggioni and RR Coifman, Regularization on graphs with functionadapted diffusion processes,
Journal of Machine Learning Research, vol. 9
(2008),
pp. 17111739, ISSN 15324435 [abs]
 RR Coifman, S Lafon, IG Kevrekidis, M Maggioni and B Nadler, Diffusion maps, reduction coordinates, and low dimensional representation of stochastic systems,
Multiscale Modeling and Simulation, vol. 7 no. 2
(2008),
pp. 842864, ISSN 15403459 [doi] [abs]
 M Maggioni and HN Mhaskar, Diffusion polynomial frames on metric measure spaces,
Applied and Computational Harmonic Analysis, vol. 24 no. 3
(May, 2008),
pp. 329353, ISSN 10635203 [doi] [abs]
 PW Jones, M Maggioni and R Schul, Universal local parametrizations via heat kernels and eigenfunctions of
the Laplacian,
Annales Academiae Scientiarum Fennicae Mathematica, vol. 35 no. 1
(January, 2010),
pp. 131174, ISSN 1239629X [0709.1975v4], [doi] [abs]
 S Mahadevan and M Maggioni, Protovalue Functions: A Laplacian Framework for Learning Representation and Control,
Journ. Mach. Learn. Res. no. 8
(September, 2007)
 S Mahadevan and M Maggioni, Protovalue functions: A Laplacian framework for learning representation and control in Markov decision processes,
Journal of Machine Learning Research, vol. 8
(2007),
pp. 21692231, ISSN 15324435 [abs]
 Sridhar Mahadevan and Kimberly Ferguson and Sarah Osentoski and Mauro Maggioni, Simultaneous Learning of Representation and Control In Continuous Domains,
in submitted,
Proc. AAAI 2006
(2006)
 Arthur D Szlam and Yoel Shkolnisky and James C Bremer and Mauro Maggioni, Image Denoising Via Graph Diffusions,
in preparation
(2006)
 Sridhar Mahadevan and Mauro Maggioni, Protovalue Functions: A Spectral Framework for Solving Markov Decision Processes,
submitted
(2006)
 Peter W Jones and Mauro Maggioni and Raanan Schul, Universal parametrizations via Eigenfunctions of the Laplacian
(2006)
 M Maggioni, GL Davis, FJ Warner, FB Geshwind, AC Coppi, RA DeVerse and RR Coifman, Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections, edited by Robert R. Alfano and Alvin Katz,
Progress in Biomedical Optics and Imaging  Proceedings of SPIE, vol. 6091 no. 1
(2006),
pp. 60910I, SPIE, ISSN 16057422 [1], [doi] [abs]
 RR Coifman, S Lafon, M Maggioni, Y Keller, AD Szlam, FJ Warner and SW Zucker, Geometries of sensor outputs, inference and information processing,
in Proc. SPIE, edited by Intelligent Integrated Microsystems; Ravindra A. Athale, John C. Zolper; Eds.,
Proceedings of SPIE  The International Society for Optical Engineering, vol. 6232
(2006),
pp. 623209, ISSN 0277786X [doi] [abs]
 MW Mahoney, M Maggioni and P Drineas, TensorCUR decompositions for tensorbased data,
in Proc 12th Annual SIGKDD,
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol. 2006
(2006),
pp. 327336 [abs]
 S Mahadevan, M Maggioni, K Ferguson and S Osentoski, Learning representation and control in continuous Markov decision processes,
Proceedings of the National Conference on Artificial Intelligence, vol. 2
(2006),
pp. 11941199 [abs]
 LS Prichep, E Causevic, RR Coifman, R Isenhart, A Jacquin, ER John, M Maggioni and FJ Warner, QEEGbased classification with wavelet packet and microstate features for triage applications in the ER,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing  Proceedings, vol. 3
(2006),
pp. III1136III1139, ISSN 15206149 [abs]
 M Maggioni and S Mahadevan, Fast direct policy evaluation using multiscale analysis of markov diffusion processes,
in University of Massachusetts, Department of Computer Science Technical Report TR200539; accepted at ICML 2006,
ACM International Conference Proceeding Series, vol. 148
(2006),
pp. 601608 [doi] [abs]
 JC Bremer, RR Coifman, M Maggioni and AD Szlam, Diffusion wavelet packets,
Applied and Computational Harmonic Analysis, vol. 21 no. 1
(2006),
pp. 95112, ISSN 10635203 [doi] [abs]
 RR Coifman and M Maggioni, Diffusion wavelets,
Applied and Computational Harmonic Analysis, vol. 21 no. 1
(2006),
pp. 5394, ISSN 10635203 [doi] [abs]
 RR Coifman, M Maggioni, SW Zucker and IG Kevrekidis, Geometric diffusions for the analysis of data from sensor networks.,
Curr Opin Neurobiol, vol. 15 no. 5
(October, 2005),
pp. 576584, ISSN 09594388 [16150587], [doi] [abs]
 RR Coifman, S Lafon, AB Lee, M Maggioni, B Nadler, F Warner and SW Zucker, Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps.,
Proc Natl Acad Sci U S A, vol. 102 no. 21
(May, 2005),
pp. 74267431, ISSN 00278424 [15899970], [doi] [abs]
 RR Coifman, S Lafon, AB Lee, M Maggioni, B Nadler, F Warner and SW Zucker, Geometric diffusions as a tool for harmonic analysis and structure definition of data: multiscale methods.,
Proc Natl Acad Sci U S A, vol. 102 no. 21
(May, 2005),
pp. 74327437, ISSN 00278424 [15899969], [doi] [abs]
 AD Szlam, M Maggioni, RR Coifman and JCB Jr, Diffusiondriven multiscale analysis on manifolds and graphs: Topdown and bottomup constructions, edited by Manos Papadakis and Andrew F. Laine and Michael A. Unser,
Proceedings of SPIE  The International Society for Optical Engineering, vol. 5914 no. 1
(2005),
pp. 111, SPIE, ISSN 0277786X [1], [doi] [abs]
 M Maggioni, JCB Jr, RR Coifman and AD Szlam, Biorthogonal diffusion wavelets for multiscale representations on manifolds and graphs, edited by Manos Papadakis and Andrew F. Laine and Michael A. Unser,
Proceedings of SPIE  The International Society for Optical Engineering, vol. 5914 no. 1
(2005),
pp. 113, SPIE, ISSN 0277786X [1], [doi] [abs]
 S Mahadevan and M Maggioni, Value function approximation with diffusion wavelets and Laplacian eigenfunctions,
in University of Massachusetts, Department of Computer Science Technical Report TR200538; Proc. NIPS 2005,
Advances in Neural Information Processing Systems
(2005),
pp. 843850, ISSN 10495258 [abs]
 E Causevic and R~R Coifman and R Isenhart and A Jacquin and E~R John and M Maggioni and L~S Prichep and F~J Warner, QEEGbased classification with wavelet packets and microstate features for triage applications in the ER
(2005)
 S Ferrari, M Maggioni and NA Borghese, Multiscale approximation with hierarchical radial basis functions networks.,
IEEE Trans Neural Netw, vol. 15 no. 1
(January, 2004),
pp. 178188, ISSN 10459227 [15387258], [doi] [abs]
 Mauro Maggioni and Frederick J Warner and Gustave L Davis and Ronald R Coifman and Frank B Geshwind and Andreas C Coppi and Richard A DeVerse, Algorithms from Signal and Data Processing Applied to Hyperspectral Analysis: Application to Discriminating Normal and Malignant Microarray Colon Tissue Sections,
submitted
(2004)
 RJ Cassidy and J Berger and Mauro Maggioni and RR Coifman, Auditory display of hyperspectral colon tissue images using vocal synthesis models,
Proc. 2004 Intern. Con. Auditory Display
(2004)
 RJ Cassidy, J Berger, K Lee, M Maggioni and RR Coifman, Analysis of hyperspectral colon tissue images using vocal synthesis models,
Conference Record  Asilomar Conference on Signals, Systems and Computers, vol. 2
(2004),
pp. 16111615, ISSN 10586393 [abs]
 GL Davis, M Maggioni, RR Coifman, R Levinson and D Rimm, SpatialSpectral Analysis of Colon Carcinoma,
Mod. Path.
(2004)
 GL Davis, M Maggioni, FJ Warner, FB Geshwind, AC Coppi, RA DeVerse and RR Coifman, Spectral Analysis of normal and Malignant Microarray Tissue Sections using a novel microoptoelectrialmechanical system,
Mod Pathol, vol. 17 no. 1:358A
(2004)
 M Maggioni, Wavelet frames on groups and hypergroups via discretization of calderón formulas,
Monatshefte fur Mathematik, vol. 143 no. 4
(2004),
pp. 299331 [doi] [abs]
 NH Katz, E Krop and M Maggioni, Remarks on the box problem,
Mathematical Research Letters, vol. 9 no. 4
(2002),
pp. 515519
 CK Chui, W Czaja, M Maggioni and G Weiss, Characterization of general tight wavelet frames with matrix dilations and tightness preserving oversampling,
Journal of Fourier Analysis and Applications, vol. 8 no. 2
(2002),
pp. 173200, ISSN 10695869 [doi] [abs]
 NH Katz, E Krop and M Maggioni, On the box problem,
Math. Research Letters, vol. 4
(2002),
pp. 515519
 M Maggioni, Critical exponent of short even filters and BurtAdelson biorthogonal wavelets,
Monatshefte fur Mathematik, vol. 131 no. 1
(2000),
pp. 4969 [abs]
 M Maggioni, MBand BurtAdelson Biorthogonal Wavelets,
Applied and Computational Harmonic Analysis, vol. 9 no. 3
(2000),
pp. 286311 [doi] [abs]
 Mauro Maggioni, MBand BurtAdelson Wavelets,
Appl. Comput. Harm. Anal., vol. 3
(2000),
pp. 286311
 Mauro Maggioni, Critical Exponent of Short Even Filters and Biorthogonal BurtAdelson Wavelets,
Monats. Math., vol. 131 no. 1
(2000),
pp. 4970
Papers Accepted
 R Yin, E Monson, E Honig, I Daubechies and M Maggioni, Object recognition in art drawings: Transfer of a neural network,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing  Proceedings, vol. 2016May
(May, 2016),
pp. 22992303, ISSN 15206149, ISBN 9781479999880 [doi] [abs]
 M Maggioni, S Minsker and N Strawn, Multiscale dictionary learning: Nonasymptotic bounds and robustness,
Journal of Machine Learning Research, vol. 17
(January, 2016), ISSN 15324435 (accepted for publication.) [arxiv:1401.5833] [abs]
 M. Crosskey, M. Maggioni, ATLAS: A geometric approach to learning highdimensional stochastic systems near manifolds,
SIAM Journ. Mult. Model. Simul.
(2015)
 A.V. Little, M. Maggioni, L. Rosasco, Multiscale Geometric Methods for Data Sets I: Multiscale SVD, Noise and Curvature
(2012)
Papers Submitted
 Y Wang, G Chen and M Maggioni, HighDimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2016),
pp. 19, ISSN 19391404 [doi] [abs]
 T. Tomita, J. Vogelstein, M. Maggioni, Randomer Forests
(2015)
 M. Crosskey, M. Maggioni, ATLAS: A geometric approach to learning highdimensional stochastic systems near manifolds
(2014) [arXiv:1404.0667]
 J. Bouvrie, M. Maggioni, Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning
(2012) [1212.1143]
 Mauro Maggioni and Ronald R Coifman, Multiscale Spectral Analysis on Data Sets with Diffusion Wavelets,
in submitted
(2006)
 Mauro Maggioni and Sridhar Mahadevan, Multiscale Diffusion Bases for Policy Iteration in Markov Decision Processes,
submitted
(2006)
 William Goetzmann and Peter W Jones and Mauro Maggioni and Johan Walden, Beauty is in the eye of the beholder,
submitted
(2004)
Preprints
 Ronald Raphel Coifman and Mauro Maggioni, Multiscale Analysis of Document Corpora
(2006)
 GL Davis and Mauro Maggioni and FJ Warner and FB Geshwind and AC Coppi and RA DeVerse and RR Coifman, Hyperspectral Analysis of normal and malignant colon tissue microarray sections using a novel DMD system
(2004) (Poster, Optical Imaging NIH workshop, to app. in proc..)
 Ronald R Coifman and Mauro Maggioni, Multiresolution Analysis associated to diffusion semigroups: construction and fast algorithms no. YALE/DCS/TR1289
(2004)
Other
 E. Liberty, S. Zucker, Y. Keller, M. Maggioni, R.R. Coifman, F. Geshwind, Methods for filtering data and filling in missing data using nonlinear filtering,
US Patent US2006/0214133 A1
(April, 2007)
 M. Maggioni, R Coifman, AC Coppi, GL Davis, RA DeVerse, WG Fately, F. Geshwind, FJ Warner, System and method for hyperspectral analysis,
US Patent US2006/0074835 A1
(April, 2006)
 RR Coifman, A. Coppi, F. Geshwind, SS Lafon, AB Lee, M Maggioni, FJ Warner, SW Zucker, WG Fately, System and method for document analysis, processing and information extraction,
U.S. Patent US2006/0004753A1
(January, 2006)
