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2020 – today
- 2024
[j22]Felix X.-F. Ye
, Sichen Yang, Mauro Maggioni:
Nonlinear Model Reduction for Slow-Fast Stochastic Systems Near Unknown Invariant Manifolds. J. Nonlinear Sci. 34(1): 22 (2024)- [j21]Christian Kümmerle, Mauro Maggioni, Sui Tang:
Learning Transition Operators From Sparse Space-Time Samples. IEEE Trans. Inf. Theory 70(9): 6412-6446 (2024) - [i26]Minglang Yin, Nicolas Charon, Ryan Brody, Lu Lu, Natalia A. Trayanova, Mauro Maggioni:
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains. CoRR abs/2402.07250 (2024) - [i25]Quanjun Lang, Xiong Wang, Fei Lu, Mauro Maggioni:
Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel. CoRR abs/2402.08412 (2024) - [i24]George A. Kevrekidis, Mauro Maggioni, Soledad Villar, Yannis G. Kevrekidis:
Thinner Latent Spaces: Detecting dimension and imposing invariance through autoencoder gradient constraints. CoRR abs/2408.16138 (2024) - 2022
- [j20]Fei Lu, Mauro Maggioni, Sui Tang:
Learning Interaction Kernels in Stochastic Systems of Interacting Particles from Multiple Trajectories. Found. Comput. Math. 22(4): 1013-1067 (2022) - [i23]Qingci An, Yannis G. Kevrekidis, Fei Lu, Mauro Maggioni:
Unsupervised learning of observation functions in state-space models by nonparametric moment methods. CoRR abs/2207.05242 (2022) - [i22]Jinchao Feng, Mauro Maggioni, Patrick Martin, Ming Zhong:
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems. CoRR abs/2208.02758 (2022) - [i21]Christian Kümmerle, Mauro Maggioni, Sui Tang:
Learning Transition Operators From Sparse Space-Time Samples. CoRR abs/2212.00746 (2022) - 2021
- [j19]Fei Lu, Mauro Maggioni, Sui Tang:
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. J. Mach. Learn. Res. 22: 32:1-32:67 (2021) - [c20]Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong:
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. ICML 2021: 7290-7300 - [i20]Wenjing Liao, Mauro Maggioni, Stefano Vigogna:
Multiscale regression on unknown manifolds. CoRR abs/2101.05119 (2021) - [i19]Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong:
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. CoRR abs/2102.00327 (2021) - [i18]Felix X.-F. Ye, Sichen Yang, Mauro Maggioni:
Nonlinear model reduction for slow-fast stochastic systems near manifolds. CoRR abs/2104.02120 (2021) - [i17]Ming Zhong, Jason Miller, Mauro Maggioni:
Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides. CoRR abs/2108.11894 (2021) - 2020
- [j18]Anna V. Little, Mauro Maggioni, James M. Murphy:
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms. J. Mach. Learn. Res. 21: 6:1-6:66 (2020) - [j17]Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein:
Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 21: 104:1-104:39 (2020) - [j16]James M. Murphy, Mauro Maggioni:
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. IEEE Geosci. Remote. Sens. Lett. 17(7): 1243-1247 (2020) - [i16]Jason Miller, Sui Tang, Ming Zhong, Mauro Maggioni:
Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems. CoRR abs/2010.03729 (2020) - [i15]Haley G. Abramson, Dan M. Popescu, Rebecca Yu, Changxin Lai, Julie K. Shade, Katherine C. Wu, Mauro Maggioni, Natalia A. Trayanova:
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction. CoRR abs/2010.11081 (2020)
2010 – 2019
- 2019
- [j15]Wenjing Liao, Mauro Maggioni:
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. J. Mach. Learn. Res. 20: 98:1-98:63 (2019) - [j14]Mauro Maggioni, James M. Murphy:
Learning by Unsupervised Nonlinear Diffusion. J. Mach. Learn. Res. 20: 160:1-160:56 (2019) - [j13]James M. Murphy, Mauro Maggioni:
Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion. IEEE Trans. Geosci. Remote. Sens. 57(3): 1829-1845 (2019) - [c19]James M. Murphy, Mauro Maggioni:
Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation. IGARSS 2019: 3828-3831 - [i14]James M. Murphy, Mauro Maggioni:
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. CoRR abs/1902.05402 (2019) - [i13]Mauro Maggioni, James M. Murphy:
Learning by Active Nonlinear Diffusion. CoRR abs/1905.12989 (2019) - [i12]Fei Lu, Mauro Maggioni, Sui Tang:
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. CoRR abs/1910.04832 (2019) - [i11]Mauro Maggioni, Jason Miller, Ming Zhong:
Data-driven Discovery of Emergent Behaviors in Collective Dynamics. CoRR abs/1912.11123 (2019) - 2018
- [c18]James M. Murphy, Mauro Maggioni:
Iterative active learning with diffusion geometry for hyperspectral images. WHISPERS 2018: 1-5 - [i10]Mauro Maggioni, James M. Murphy:
Learning by Unsupervised Nonlinear Diffusion. CoRR abs/1810.06702 (2018) - [i9]Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong:
Nonparametric inference of interaction laws in systems of agents from trajectory data. CoRR abs/1812.06003 (2018) - 2017
- [j12]Samuel Gerber, Mauro Maggioni:
Multiscale Strategies for Computing Optimal Transport. J. Mach. Learn. Res. 18: 72:1-72:32 (2017) - [j11]Miles Crosskey, Mauro Maggioni:
ATLAS: A Geometric Approach to Learning High-Dimensional Stochastic Systems Near Manifolds. Multiscale Model. Simul. 15(1): 110-156 (2017) - [c17]Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein:
ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations. SDM 2017: 498-506 - [i8]James M. Murphy, Mauro Maggioni:
Unsupervised Geometric Learning of Hyperspectral Images. CoRR abs/1704.07961 (2017) - [i7]Samuel Gerber, Mauro Maggioni:
Multiscale Strategies for Computing Optimal Transport. CoRR abs/1708.02469 (2017) - 2016
- [j10]Mauro Maggioni, Stanislav Minsker, Nate Strawn:
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness. J. Mach. Learn. Res. 17: 2:1-2:51 (2016) - [j9]Yi Wang, Guangliang Chen, Mauro Maggioni:
High-Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4316-4324 (2016) - [c16]Rujie Yin, Eric E. Monson, Elizabeth Honig, Ingrid Daubechies, Mauro Maggioni:
Object recognition in art drawings: Transfer of a neural network. ICASSP 2016: 2299-2303 - [c15]Wenjing Liao, Mauro Maggioni, Stefano Vigogna:
Learning adaptive multiscale approximations to data and functions near low-dimensional sets. ITW 2016: 226-230 - [i6]Wenjing Liao, Mauro Maggioni:
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. CoRR abs/1611.01179 (2016) - 2015
- [c14]Yi Grace Wang, Mauro Maggioni, Guangliang Chen:
Enhanced detection of chemical plumes in hyperspectral images and movies throughimproved backgroundmodeling. WHISPERS 2015: 1-4 - [i5]Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein:
Randomer Forests. CoRR abs/1506.03410 (2015) - 2014
- [j8]Nicolas Altemose, Karen H. Miga, Mauro Maggioni, Huntington F. Willard:
Genomic Characterization of Large Heterochromatic Gaps in the Human Genome Assembly. PLoS Comput. Biol. 10(5) (2014) - [i4]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [c13]Mauro Maggioni:
Geometric estimation of probability measures in high-dimensions. ACSSC 2013: 1363-1367 - 2012
- [c12]Jake V. Bouvrie, Mauro Maggioni:
Efficient solution of Markov decision problems with multiscale representations. Allerton Conference 2012: 474-481 - [c11]Jake V. Bouvrie, Mauro Maggioni:
Geometric multiscale reduction for autonomous and controlled nonlinear systems. CDC 2012: 4320-4327 - [c10]Guangliang Chen, Mark A. Iwen, Sang Chin, Mauro Maggioni:
A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements. VCIP 2012: 1-6 - [i3]Mark A. Iwen, Mauro Maggioni:
Approximation of Points on Low-Dimensional Manifolds Via Random Linear Projections. CoRR abs/1204.3337 (2012) - [i2]Jake V. Bouvrie, Mauro Maggioni:
Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning. CoRR abs/1212.1143 (2012) - 2011
- [c9]Guangliang Chen, Mauro Maggioni:
Multiscale geometric and spectral analysis of plane arrangements. CVPR 2011: 2825-2832 - [i1]William K. Allard, Guangliang Chen, Mauro Maggioni:
Multiscale Geometric Methods for Data Sets II: Geometric Wavelets. CoRR abs/1105.4924 (2011) - 2010
- [j7]Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mukherjee:
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence. J. Mach. Learn. Res. 11: 2175-2198 (2010) - [c8]Guangliang Chen, Mauro Maggioni:
Multiscale geometric wavelets for the analysis of point clouds. CISS 2010: 1-6 - [c7]Eric E. Monson, Guangliang Chen, Rachel Brady, Mauro Maggioni:
Data representation and exploration with Geometric Wavelets. IEEE VAST 2010: 243-244
2000 – 2009
- 2009
- [j6]Walter Willinger, Reza Rejaie, Mojtaba Torkjazi, Masoud Valafar, Mauro Maggioni:
Research on online social networks: time to face the real challenges. SIGMETRICS Perform. Evaluation Rev. 37(3): 49-54 (2009) - [c6]Anna V. Little, Yoon-Mo Jung, Mauro Maggioni:
Multiscale Estimation of Intrinsic Dimensionality of Data Sets. AAAI Fall Symposium: Manifold Learning and Its Applications 2009 - 2008
- [j5]Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman:
Regularization on Graphs with Function-adapted Diffusion Processes. J. Mach. Learn. Res. 9: 1711-1739 (2008) - [j4]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): 842-864 (2008) - [j3]Michael W. Mahoney, Mauro Maggioni, Petros Drineas:
Tensor-CUR Decompositions for Tensor-Based Data. SIAM J. Matrix Anal. Appl. 30(3): 957-987 (2008) - 2007
- [j2]Sridhar Mahadevan, Mauro Maggioni:
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes. J. Mach. Learn. Res. 8: 2169-2231 (2007) - 2006
- [c5]Sridhar Mahadevan, Mauro Maggioni, Kimberly Ferguson, Sarah Osentoski:
Learning Representation and Control in Continuous Markov Decision Processes. AAAI 2006: 1194-1199 - [c4]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: 1136-1139 - [c3]Mauro Maggioni, Sridhar Mahadevan:
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes. ICML 2006: 601-608 - [c2]Michael W. Mahoney, Mauro Maggioni, Petros Drineas:
Tensor-CUR decompositions for tensor-based data. KDD 2006: 327-336 - 2005
- [c1]Sridhar Mahadevan, Mauro Maggioni:
Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions. NIPS 2005: 843-850 - 2004
- [j1]Stefano Ferrari, Mauro Maggioni, N. Alberto Borghese:
Multiscale approximation with hierarchical radial basis functions networks. IEEE Trans. Neural Networks 15(1): 178-188 (2004)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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