Sebastian Pineda-Arango

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Top Venues

AALTD@ECML/PKDD

Publications

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
Chronos: Learning the Language of Time Series. CoRR (2024)
Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. ICLR (2024)
Sebastian Pineda-Arango, Josif Grabocka
Deep Pipeline Embeddings for AutoML. CoRR (2023)
Sebastian Pineda-Arango, Josif Grabocka
Deep Pipeline Embeddings for AutoML. KDD (2023)
Arlind Kadra, Sebastian Pineda-Arango, Josif Grabocka
Breaking the Paradox of Explainable Deep Learning. CoRR (2023)
Abdus Salam Khazi, Sebastian Pineda-Arango, Josif Grabocka
Deep Ranking Ensembles for Hyperparameter Optimization. ICLR (2023)
Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. CoRR (2023)
Abdus Salam Khazi, Sebastian Pineda-Arango, Josif Grabocka
Deep Ranking Ensembles for Hyperparameter Optimization. CoRR (2023)
Samuel Müller, Noah Hollmann, Sebastian Pineda-Arango, Josif Grabocka, Frank Hutter
Transformers Can Do Bayesian Inference. ICLR (2022)
Sebastian Pineda-Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML. NeurIPS Datasets and Benchmarks (2021)
Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme
Multimodal Meta-Learning for Time Series Regression. AALTD@ECML/PKDD (2021)
Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme
Multimodal Meta-Learning for Time Series Regression. CoRR (2021)
Samuel Müller, Noah Hollmann, Sebastian Pineda-Arango, Josif Grabocka, Frank Hutter
Transformers Can Do Bayesian Inference. CoRR (2021)
Sebastian Pineda-Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML. CoRR (2021)
Sebastian Pineda-Arango, David Obando-Paniagua, Alperen Dedeoglu, Philip Kurzendörfer, Friedemann Schestag, Randolf Scholz
Improving Sample Efficiency with Normalized RBF Kernels. CoRR (2020)