Mauro Maggioni

74 papers A* 5A 1B 1C 2Misc 3Journal 54Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Multi-type heterogeneous interacting particle systems. CoRR Quanjun Lang, Xiong Wang, Fei Lu, Mauro Maggioni
2026	J	`jnl`	Multi-level meta-reinforcement learning with skill-based curriculum. CoRR Sichen Yang, Mauro Maggioni
2024	J	`jnl`	A scalable framework for learning the geometry-dependent solution operators of partial differential equations. Nat. Comput. Sci. Minglang Yin, Nicolas Charon, Ryan Brody, Lu Lu, Natalia A. Trayanova, Mauro Maggioni
2024	J	`jnl`	Conditional regression for the Nonlinear Single-Variable Model. CoRR Yantao Wu, Mauro Maggioni
2024	J	`jnl`	DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains. CoRR Minglang Yin, Nicolas Charon, Ryan Brody, Lu Lu, Natalia A. Trayanova, Mauro Maggioni
2024	J	`jnl`	Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations. CoRR Zan Ahmad, Shiyi Chen, Minglang Yin, Avisha Kumar, Nicolas Charon, Natalia A. Trayanova, Mauro Maggioni
2024	J	`jnl`	Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains. CoRR Shane E. Loeffler, Zan Ahmad, Syed Yusuf Ali, Carolyna A. P. Yamamoto, Dan M. Popescu, Alana Yee, Yash Lal, Natalia A. Trayanova, Mauro Maggioni
2024	J	`jnl`	Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel. CoRR Quanjun Lang, Xiong Wang, Fei Lu, Mauro Maggioni
2024	J	`jnl`	Learning Transition Operators From Sparse Space-Time Samples. IEEE Trans. Inf. Theory Christian Kümmerle, Mauro Maggioni, Sui Tang
2024	J	`jnl`	Nonlinear Model Reduction for Slow-Fast Stochastic Systems Near Unknown Invariant Manifolds. J. Nonlinear Sci. Felix X.-F. Ye, Sichen Yang, Mauro Maggioni
2024	J	`jnl`	Thinner Latent Spaces: Detecting dimension and imposing invariance through autoencoder gradient constraints. CoRR George A. Kevrekidis, Mauro Maggioni, Soledad Villar, Yannis G. Kevrekidis
2022	J	`jnl`	Learning Interaction Kernels in Stochastic Systems of Interacting Particles from Multiple Trajectories. Found. Comput. Math. Fei Lu, Mauro Maggioni, Sui Tang
2022	J	`jnl`	Learning Interaction Variables and Kernels from Observations of Agent-Based Systems. CoRR Jinchao Feng, Mauro Maggioni, Patrick Martin, Ming Zhong
2022	J	`jnl`	Learning Transition Operators From Sparse Space-Time Samples. CoRR Christian Kümmerle, Mauro Maggioni, Sui Tang
2022	J	`jnl`	Unsupervised learning of observation functions in state-space models by nonparametric moment methods. CoRR Qingci An, Yannis G. Kevrekidis, Fei Lu, Mauro Maggioni
2021	A*	`conf`	Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. ICML Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong
2021	J	`jnl`	Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. CoRR Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong
2021	J	`jnl`	Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. J. Mach. Learn. Res. Fei Lu, Mauro Maggioni, Sui Tang
2021	J	`jnl`	Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides. CoRR Ming Zhong, Jason Miller, Mauro Maggioni
2021	J	`jnl`	Multiscale regression on unknown manifolds. CoRR Wenjing Liao, Mauro Maggioni, Stefano Vigogna
2021	J	`jnl`	Nonlinear model reduction for slow-fast stochastic systems near manifolds. CoRR Felix X.-F. Ye, Sichen Yang, Mauro Maggioni
2020	J	`jnl`	Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction. CoRR Haley G. Abramson, Dan M. Popescu, Rebecca Yu, Changxin Lai, Julie K. Shade, Katherine C. Wu, Mauro Maggioni, Natalia A. Trayanova
2020	J	`jnl`	Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems. CoRR Jason Miller, Sui Tang, Ming Zhong, Mauro Maggioni
2020	J	`jnl`	Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms. J. Mach. Learn. Res. Anna V. Little, Mauro Maggioni, James M. Murphy
2020	J	`jnl`	Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 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
2020	J	`jnl`	Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. IEEE Geosci. Remote. Sens. Lett. James M. Murphy, Mauro Maggioni
2019	J	`jnl`	Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. J. Mach. Learn. Res. Wenjing Liao, Mauro Maggioni
2019	J	`jnl`	Data-driven Discovery of Emergent Behaviors in Collective Dynamics. CoRR Mauro Maggioni, Jason Miller, Ming Zhong
2019	J	`jnl`	Learning by Active Nonlinear Diffusion. CoRR Mauro Maggioni, James M. Murphy
2019	J	`jnl`	Learning by Unsupervised Nonlinear Diffusion. J. Mach. Learn. Res. Mauro Maggioni, James M. Murphy
2019	J	`jnl`	Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. CoRR Fei Lu, Mauro Maggioni, Sui Tang
2019	J	`jnl`	Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. CoRR James M. Murphy, Mauro Maggioni
2019	J	`jnl`	Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion. IEEE Trans. Geosci. Remote. Sens. James M. Murphy, Mauro Maggioni
2019	C	`conf`	Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation. IGARSS James M. Murphy, Mauro Maggioni
2018	—	`conf`	Iterative active learning with diffusion geometry for hyperspectral images. WHISPERS James M. Murphy, Mauro Maggioni
2018	J	`jnl`	Learning by Unsupervised Nonlinear Diffusion. CoRR Mauro Maggioni, James M. Murphy
2018	J	`jnl`	Nonparametric inference of interaction laws in systems of agents from trajectory data. CoRR Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong
2017	J	`jnl`	ATLAS: A Geometric Approach to Learning High-Dimensional Stochastic Systems Near Manifolds. Multiscale Model. Simul. Miles Crosskey, Mauro Maggioni
2017	J	`jnl`	Multiscale Strategies for Computing Optimal Transport. CoRR Samuel Gerber, Mauro Maggioni
2017	J	`jnl`	Multiscale Strategies for Computing Optimal Transport. J. Mach. Learn. Res. Samuel Gerber, Mauro Maggioni
2017	A	`conf`	ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations. SDM Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein
2017	J	`jnl`	Unsupervised Geometric Learning of Hyperspectral Images. CoRR James M. Murphy, Mauro Maggioni
2016	J	`jnl`	Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. CoRR Wenjing Liao, Mauro Maggioni
2016	J	`jnl`	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. Yi Wang, Guangliang Chen, Mauro Maggioni
2016	B	`conf`	Learning adaptive multiscale approximations to data and functions near low-dimensional sets. ITW Wenjing Liao, Mauro Maggioni, Stefano Vigogna
2016	J	`jnl`	Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness. J. Mach. Learn. Res. Mauro Maggioni, Stanislav Minsker, Nate Strawn
2016	Misc	`conf`	Object recognition in art drawings: Transfer of a neural network. ICASSP Rujie Yin, Eric E. Monson, Elizabeth Honig, Ingrid Daubechies, Mauro Maggioni
2015	—	`conf`	Enhanced detection of chemical plumes in hyperspectral images and movies throughimproved backgroundmodeling. WHISPERS Yi Grace Wang, Mauro Maggioni, Guangliang Chen
2015	J	`jnl`	Randomer Forests. CoRR Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein
2014	J	`jnl`	Genomic Characterization of Large Heterochromatic Gaps in the Human Genome Assembly. PLoS Comput. Biol. Nicolas Altemose, Karen H. Miga, Mauro Maggioni, Huntington F. Willard
2014	J	`jnl`	Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR 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
2013	Misc	`conf`	Geometric estimation of probability measures in high-dimensions. ACSSC Mauro Maggioni
2012	C	`conf`	A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements. VCIP Guangliang Chen, Mark A. Iwen, Sang Chin, Mauro Maggioni
2012	J	`jnl`	Approximation of Points on Low-Dimensional Manifolds Via Random Linear Projections CoRR Mark A. Iwen, Mauro Maggioni
2012	—	`conf`	Efficient solution of Markov decision problems with multiscale representations. Allerton Conference Jake V. Bouvrie, Mauro Maggioni
2012	—	`conf`	Geometric multiscale reduction for autonomous and controlled nonlinear systems. CDC Jake V. Bouvrie, Mauro Maggioni
2012	J	`jnl`	Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning CoRR Jake V. Bouvrie, Mauro Maggioni
2011	J	`jnl`	Multiscale Geometric Methods for Data Sets II: Geometric Wavelets CoRR William K. Allard, Guangliang Chen, Mauro Maggioni
2011	A*	`conf`	Multiscale geometric and spectral analysis of plane arrangements. CVPR Guangliang Chen, Mauro Maggioni
2010	—	`conf`	Data representation and exploration with Geometric Wavelets. IEEE VAST Eric E. Monson, Guangliang Chen, Rachel Brady, Mauro Maggioni
2010	J	`jnl`	Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence. J. Mach. Learn. Res. Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mukherjee
2010	Misc	`conf`	Multiscale geometric wavelets for the analysis of point clouds. CISS Guangliang Chen, Mauro Maggioni
2009	—	`conf`	Multiscale Estimation of Intrinsic Dimensionality of Data Sets. AAAI Fall Symposium: Manifold Learning and Its Applications Anna V. Little, Yoon-Mo Jung, Mauro Maggioni
2009	J	`jnl`	Research on online social networks: time to face the real challenges. SIGMETRICS Perform. Evaluation Rev. Walter Willinger, Reza Rejaie, Mojtaba Torkjazi, Masoud Valafar, Mauro Maggioni
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`	Regularization on Graphs with Function-adapted Diffusion Processes. J. Mach. Learn. Res. Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
2008	J	`jnl`	Tensor-CUR Decompositions for Tensor-Based Data. SIAM J. Matrix Anal. Appl. Michael W. Mahoney, Mauro Maggioni, Petros Drineas
2007	J	`jnl`	Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes. J. Mach. Learn. Res. Sridhar Mahadevan, Mauro Maggioni
2006	A*	`conf`	Fast direct policy evaluation using multiscale analysis of Markov diffusion processes. ICML Mauro Maggioni, Sridhar Mahadevan
2006	A*	`conf`	Learning Representation and Control in Continuous Markov Decision Processes. AAAI Sridhar Mahadevan, Mauro Maggioni, Kimberly Ferguson, Sarah Osentoski
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
2006	A*	`conf`	Tensor-CUR decompositions for tensor-based data. KDD Michael W. Mahoney, Mauro Maggioni, Petros Drineas
2005	—	`conf`	Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions. NIPS Sridhar Mahadevan, Mauro Maggioni
2004	J	`jnl`	Multiscale approximation with hierarchical radial basis functions networks. IEEE Trans. Neural Networks Stefano Ferrari, Mauro Maggioni, N. Alberto Borghese