Mercado, Pedro

10 publications

AISTATS 2025 ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Henri Joseph Senetaire, Ali Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram

TMLR 2024 Chronos: Learning the Language of Time Series Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang

AISTATS 2023 Coherent Probabilistic Forecasting of Temporal Hierarchies Syama Sundar Rangapuram, Shubham Kapoor, Rajbir Singh Nirwan, Pedro Mercado, Tim Januschowski, Yuyang Wang, Michael Bohlke-Schneider

ICLR 2022 PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Shubham Kapoor, Rajbir Singh Nirwan, Valentin Flunkert, Jan Gasthaus, Tim Januschowski

ICML 2021 End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series Syama Sundar Rangapuram, Lucien D Werner, Konstantinos Benidis, Pedro Mercado, Jan Gasthaus, Tim Januschowski

NeurIPS 2019 Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs Pedro Mercado, Francesco Tudisco, Matthias Hein

ECML-PKDD 2019 Node Classification for Signed Social Networks Using Diffuse Interface Methods Pedro Mercado, Jessica Bosch, Martin Stoll

ICML 2019 Spectral Clustering of Signed Graphs via Matrix Power Means Pedro Mercado, Francesco Tudisco, Matthias Hein

AISTATS 2018 The Power Mean Laplacian for Multilayer Graph Clustering Pedro Mercado, Antoine Gautier, Francesco Tudisco, Matthias Hein

NeurIPS 2016 Clustering Signed Networks with the Geometric Mean of Laplacians Pedro Mercado, Francesco Tudisco, Matthias Hein