Sebastian Pineda-Arango

According to our database, Sebastian Pineda-Arango authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Regularized Neural Ensemblers.

Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka

Proceedings of the International Conference on Automated Machine Learning (AutoML 2025), 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 Senetaire, Ali Caner Türkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Chronos: Learning the Language of Time Series.

Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, 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

Trans. Mach. Learn. Res., 2024

Ensembling Finetuned Language Models for Text Classification.

Sebastian Pineda-Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka

CoRR, 2024

Dynamic Post-Hoc Neural Ensemblers.

Sebastian Pineda-Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka

CoRR, 2024

Chronos: Learning the Language of Time Series.

Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang

CoRR, 2024

Interpretable Mesomorphic Networks for Tabular Data.

Arlind Kadra, Sebastian Pineda-Arango, Josif Grabocka

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How.

Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning.

Gresa Shala, Sebastian Pineda-Arango, André Biedenkapp, Frank Hutter, Josif Grabocka

Proceedings of the International Conference on Automated Machine Learning, 2024

2023

Breaking the Paradox of Explainable Deep Learning.

Arlind Kadra, Sebastian Pineda-Arango, Josif Grabocka

CoRR, 2023

Deep Pipeline Embeddings for AutoML.

Sebastian Pineda-Arango, Josif Grabocka

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Ranking Ensembles for Hyperparameter Optimization.

Abdus Salam Khazi, Sebastian Pineda-Arango, Josif Grabocka

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Transformers Can Do Bayesian Inference.

Samuel Müller, Noah Hollmann, Sebastian Pineda-Arango, Josif Grabocka, Frank Hutter

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML.

Sebastian Pineda-Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Multimodal Meta-Learning for Time Series Regression.

Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020

Improving Sample Efficiency with Normalized RBF Kernels.

Sebastian Pineda-Arango, David Obando-Paniagua, Alperen Dedeoglu, Philip Kurzendörfer, Friedemann Schestag, Randolf Scholz

CoRR, 2020