Sebastian Pineda-Arango

21 papers A* 5Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables.
CoRR
Sebastian Pineda-Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Yuyang Wang, Syama Sundar Rangapuram
2024 J jnl
Chronos: Learning the Language of Time Series.
CoRR
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
2024 J jnl
Chronos: Learning the Language of Time Series.
Trans. Mach. Learn. Res.
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
2024 J jnl
Dynamic Post-Hoc Neural Ensemblers.
CoRR
Sebastian Pineda-Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka
2024 J jnl
Ensembling Finetuned Language Models for Text Classification.
CoRR
Sebastian Pineda-Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka
2024 — conf
HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning.
AutoML
Gresa Shala, Sebastian Pineda-Arango, André Biedenkapp, Frank Hutter, Josif Grabocka
2024 A* conf
Interpretable Mesomorphic Networks for Tabular Data.
NeurIPS
Arlind Kadra, Sebastian Pineda-Arango, Josif Grabocka
2024 A* conf
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How.
ICLR
Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
2023 J jnl
Breaking the Paradox of Explainable Deep Learning.
CoRR
Arlind Kadra, Sebastian Pineda-Arango, Josif Grabocka
2023 A* conf
Deep Pipeline Embeddings for AutoML.
KDD
Sebastian Pineda-Arango, Josif Grabocka
2023 J jnl
Deep Pipeline Embeddings for AutoML.
CoRR
Sebastian Pineda-Arango, Josif Grabocka
2023 A* conf
Deep Ranking Ensembles for Hyperparameter Optimization.
ICLR
Abdus Salam Khazi, Sebastian Pineda-Arango, Josif Grabocka
2023 J jnl
Deep Ranking Ensembles for Hyperparameter Optimization.
CoRR
Abdus Salam Khazi, Sebastian Pineda-Arango, Josif Grabocka
2023 J jnl
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How.
CoRR
Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
2022 A* conf
Transformers Can Do Bayesian Inference.
ICLR
Samuel Müller, Noah Hollmann, Sebastian Pineda-Arango, Josif Grabocka, Frank Hutter
2021 — conf
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML.
NeurIPS Datasets and Benchmarks
Sebastian Pineda-Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka
2021 J jnl
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML.
CoRR
Sebastian Pineda-Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka
2021 — conf
Multimodal Meta-Learning for Time Series Regression.
AALTD@ECML/PKDD
Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme
2021 J jnl
Multimodal Meta-Learning for Time Series Regression.
CoRR
Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme
2021 J jnl
Transformers Can Do Bayesian Inference.
CoRR
Samuel Müller, Noah Hollmann, Sebastian Pineda-Arango, Josif Grabocka, Frank Hutter
2020 J jnl
Improving Sample Efficiency with Normalized RBF Kernels.
CoRR
Sebastian Pineda-Arango, David Obando-Paniagua, Alperen Dedeoglu, Philip Kurzendörfer, Friedemann Schestag, Randolf Scholz