Mauro Maggioni
11 papers · 2007–2021 · 2 venues · across top CS/AI venues
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Achievements
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Trend Setter
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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(62)
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Research topics
Machine Learning
(10)
Core Methods
(9)
Mathematics & Optimization
(6)
Mathematics
(5)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types
(2)
Optimization
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications Β· Reinforcement Learning
(1)
Applications Β· Data Science & Analytics
(1)
Keywords
manifold learning
(3)
graph laplacian
(2)
diffusion process
(2)
dictionary learning
(2)
spectral clustering
(2)
dimensionality reduction
(2)
interaction kernel
(2)
geometric analysis
(1)
optimal transport
(1)
sparse representation
(1)
graph theory
(1)
image denoising
(1)
transductive learning
(1)
supervised learning
(1)
wavelet transform
(1)
density estimation
(1)
trajectory prediction
(1)
gradient estimation
(1)
mode estimation
(1)
ensemble learning
(1)
Papers
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
ICML 2021
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories
JMLR 2021
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms
JMLR 2020
Sparse Projection Oblique Randomer Forests
JMLR 2020
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data
JMLR 2019
Learning by Unsupervised Nonlinear Diffusion
JMLR 2019
Multiscale Strategies for Computing Optimal Transport
JMLR 2017
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness
JMLR 2016
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
JMLR 2010
Regularization on Graphs with Function-adapted Diffusion Processes
JMLR 2008
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
JMLR 2007