Nicolás García Trillos
10 papers · 2016–2024 · 1 conference · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (15) 🏃 Academic Marathon (8) 🐣 Hot Topic Early Bird
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Keyword Pioneer
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
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Keyword Collector
(58)
💎
Century Club
(10)
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Unstoppable
(6)
Conferences
JMLR (10)
Top co-authors
Keywords
manifold learning
(4)
optimal transport
(3)
graph laplacian
(3)
consistency analysis
(2)
spectral clustering
(2)
graph-based method
(2)
multimarginal optimal transport
(2)
multiclass classification
(2)
point cloud
(1)
geometric analysis
(1)
adversarial learning
(1)
robust classification
(1)
linear programming
(1)
adversarial training
(1)
graph-based learning
(1)
graph clustering
(1)
markov chain monte carlo
(1)
multi-class classification
(1)
bayesian inference
(1)
semi-supervised learning
(1)
Papers
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms
JMLR 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
JMLR 2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization
JMLR 2024
The multimarginal optimal transport formulation of adversarial multiclass classification
JMLR 2023
Large sample spectral analysis of graph-based multi-manifold clustering
JMLR 2023
Adversarial Classification: Necessary Conditions and Geometric Flows
JMLR 2022
Geometric structure of graph Laplacian embeddings
JMLR 2021
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms
JMLR 2020
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis
JMLR 2019
Consistency of Cheeger and Ratio Graph Cuts
JMLR 2016