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Sebastian Pineda Arango
Sebastian Pineda Arango
Verified email at cs.uni-freiburg.de
Title
Cited by
Cited by
Year
Transformers Can Do Bayesian Inference
S Müller, N Hollmann, SP Arango, J Grabocka, F Hutter
International Conference on Learning Representations, 2021
512021
HPO-B: A large-scale reproducible benchmark for black-box HPO based on openml
S Pineda Arango, HS Jomaa, M Wistuba, J Grabocka
NeuIPS Datasets and Benchmarks 2021, 2021
34*2021
Multimodal meta-learning for time series regression
SP Arango, F Heinrich, K Madhusudhanan, L Schmidt-Thieme
Advanced Analytics and Learning on Temporal Data: 6th ECML PKDD Workshop …, 2021
122021
Transfer learning for bayesian hpo with end-to-end landmark meta-features
HS Jomaa, SP Arango, L Schmidt-Thieme, J Grabocka
Fifth Workshop on Meta-Learning at the Conference on Neural Information …, 2021
52021
AutoRL-Bench 1.0
G Shala, SP Arango, A Biedenkapp, F Hutter, J Grabocka
Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022
42022
Improving Sample Efficiency with Normalized RBF Kernels
S Pineda-Arango, D Obando-Paniagua, A Dedeoglu, P Kurzendörfer, ...
arXiv preprint arXiv:2007.15397, 2020
42020
Deep Ranking Ensembles for Hyperparameter Optimization
AS Khazi*, S Pineda-Arango*, J Grabocka
International Conference on Learning Representations 2023, 2023
22023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
SP Arango, F Ferreira, A Kadra, F Hutter, J Grabocka
arXiv preprint arXiv:2306.03828, 2023
12023
Breaking the Paradox of Explainable Deep Learning
A Kadra, SP Arango, J Grabocka
arXiv preprint arXiv:2305.13072, 2023
12023
Deep Pipeline Embeddings for AutoML
S Pineda Arango, J Grabocka
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2023
2023
Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only
S Müller, SP Arango, M Feurer, J Grabocka, F Hutter
Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022
2022
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