Scholar
Pedro Mercado
Google Scholar ID: FzY9Jo0AAAAJ
Saarland University - University of Tübingen - AWS AI Labs, Amazon Web Services
Machine Learning
Data Mining
Music Information Retrieval
Numerical Optimization.
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
1,007
H-index
10
i10-index
10
Publications
20
Co-authors
12
list available
Contact
Email
pedro@cs.uni-saarland.de
GitHub
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Publications
4 items
Chronos-2: From Univariate to Universal Forecasting
2025
Cited
0
Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
2025
Cited
0
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
2025
Cited
0
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
2025
Cited
0
Resume (English only)
Academic Achievements
Paper 'Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs' accepted at NeurIPS 2019
Paper 'Node Classification for Signed Social Networks Using Diffuse Interface Methods' accepted at ECML PKDD 2019
Paper 'Spectral Clustering of Signed Graphs via Matrix Power Means' accepted at ICML 2019
Paper 'Community Detection in Networks Via Nonlinear Modularity Eigenvectors' published in SIAM Journal on Applied Mathematics (2018)
Paper 'The Power Mean Laplacian for Multilayer Graph Clustering' accepted at AISTATS 2018 and MLG@KDD workshop
Paper 'Clustering Signed Networks with the Geometric Mean of Laplacians' accepted at NIPS 2016
Invited talk at ICIAM 2019 minisymposium 'Information extraction using the graph Laplacian'
Talk at SIAM ALA 2018 minisymposium 'Matrix Functions and their Applications'
Co-authors
12 total
Shubham Kapoor
Amazon
Syama Sundar Rangapuram
Amazon
Matthias Hein
Professor of Computer Science, University of Tübingen
Francesco Tudisco
The University of Edinburgh
Co-author 5
Co-author 6
Paul Jeha
Technical University of Denmark
Martin Stoll
TU Chemnitz
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