Arango, Sebastian Pineda

13 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

AutoML 2025 Regularized Neural Ensemblers Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka

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

NeurIPSW 2024 Ensembling Finetuned Language Models for Text Classification Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka

AutoML 2024 HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning Gresa Shala, Sebastian Pineda Arango, André Biedenkapp, Frank Hutter, Josif Grabocka

NeurIPS 2024 Interpretable Mesomorphic Networks for Tabular Data Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka

ICLR 2024 Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka

ICLR 2023 Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi, Sebastian Pineda Arango, Josif Grabocka

NeurIPSW 2022 AutoRL-Bench 1.0 Gresa Shala, Sebastian Pineda Arango, André Biedenkapp, Frank Hutter, Josif Grabocka

NeurIPSW 2022 Bayesian Optimization with a Neural Network Meta-Learned on Synthetic Data Only Samuel Müller, Sebastian Pineda Arango, Matthias Feurer, Josif Grabocka, Frank Hutter

ICLR 2022 Transformers Can Do Bayesian Inference Samuel Müller, Noah Hollmann, Sebastian Pineda Arango, Josif Grabocka, Frank Hutter

NeurIPSW 2021 Transfer Learning for Bayesian HPO with End-to-End Landmark Meta-Features Hadi Samer Jomaa, Sebastian Pineda Arango, Lars Schmidt-Thieme, Josif Grabocka

NeurIPSW 2021 Transformers Can Do Bayesian-Inference by Meta-Learning on Prior-Data Samuel Müller, Noah Hollmann, Sebastian Pineda Arango, Josif Grabocka, Frank Hutter