Nicolás García Trillos
10 papers · 2016–2024 · 1 venue · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25) 🏆 Keyword Champion (2)
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Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
(57)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(8)
Mathematics & Optimization
(7)
Learning Types
(4)
Mathematics
(4)
Optimization & Theory
(4)
Optimization
(3)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Core AI
(1)
Foundations
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
manifold learning
(4)
optimal transport
(3)
graph laplacian
(3)
spectral clustering
(2)
consistency analysis
(2)
graph-based method
(2)
multi-marginal optimal transport
(2)
multi-class classification
(2)
point cloud
(1)
geometric analysis
(1)
adversarial learning
(1)
robust classification
(1)
adversarial classification
(1)
adversarial training
(1)
graph clustering
(1)
graph-based learning
(1)
markov chain monte carlo
(1)
linear programming
(1)
bayesian inference
(1)
semi-supervised learning
(1)
Papers
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
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms
JMLR 2024
Large sample spectral analysis of graph-based multi-manifold clustering
JMLR 2023
The multimarginal optimal transport formulation of adversarial multiclass classification
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