← Authors

Mauro Maggioni

11 papers · 2007–2021 · 2 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (2) πŸƒ Academic Marathon (14) πŸ’Ž Century Club (11) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (62)

Conferences

JMLR (10) ICML (1)

Top co-authors

James M. Murphy (2) Anna Little (1) Hongda Qiu (1) Samuel Gerber (1) Ming Zhong (1) Jaewon Chung (1) Justin Guinney (1) Joshua T. Vogelstein (1) Randal Burns (1) Ronald R. Coifman (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