JV
Joaquin Vanschoren
cs.LGcs.AIcs.CVstat.MLcs.DBcs.CLcs.CYcs.IRautomated machine learningcs.DC
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
92 papers in the corpus · 2014–2026Residual Correlation as a Diagnostic for Joint-Uncertainty Gains from GP Coregionalisation2609.30085v1 · Fangqin Zhou, Joaquin Vanschoren2026 · 0 citationsarXiv
OpenML: Insights from 10 years and more than a thousand papers.40926970 · Bischl, Bernd, Casalicchio, Giuseppe, Das, Taniya et al.2026 · 13 citationsPatterns (New York, N.Y.). 2025;6(7):101317
Amortizing Scaling Law Construction Costs2609.05016v1 · Abhash Kumar Jha, Diana Alexandra Onutu, Neeratyoy Mallik et al.2026 · 0 citationsarXiv
TimeSage-EV: A Live Benchmark for Agentic Time Series Analysis in Evolving Environments2608.14270v1 · Qingren Yao, Yaxuan Kong, Yuqi Nie et al.2026 · 0 citationsarXiv
Automated Reinforcement Learning: An Overview2201.05000v3 · Reza Refaei Afshar, Joaquin Vanschoren, Uzay Kaymak et al.2022 · 13 citationsarXiv
Testing the feasibility of deep learning approaches to enhance monitoring of marine macroinvertebrates: Insights from a case study using the gastropod Peringia ulvae.42448905 · Jurado, Israel Campero, Earp, Hannah S, Vanschoren, Joaquin et al.2026 · 0 citationsEnvironmental monitoring and assessment. 2026;198(8)
Meta-Learning Transformers to Improve In-Context Generalization2507.05019v2 · Lorenzo Braccaioli, Anna Vettoruzzo, Prabhant Singh et al.2025 · 0 citationsarXiv
TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning2606.01498v1 · Yaxuan Kong, Qingren Yao, Yuqi Nie et al.2026 · 0 citationsarXiv
Advances and Challenges in Meta-Learning: A Technical Review2307.04722v2 · Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren et al.2023 · 307 citationsarXiv
Croissant Tasks: A Metadata Format for Reproducible Machine Learning Evaluations2605.29786v1 · Omar Benjelloun, Leonardo Martins Bianco, Isabelle Guyon et al.2026 · 0 citationsarXiv
Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets2605.15079v1 · Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer et al.2026 · 0 citationsarXiv
Automatic Combination of Sample Selection Strategies for Few-Shot Learning2402.03038v2 · Branislav Pecher, Ivan Srba, Maria Bielikova et al.2024 · 5 citationsarXiv
Pruned Adaptation Modules: A Simple yet Strong Baseline for Continual Foundation Models2603.21170v1 · Elif Ceren Gok Yildirim, Murat Onur Yildirim, Joaquin Vanschoren2026 · 0 citationsarXiv
Unlocking [CLS] Features for Continual Post-Training2502.14762v2 · Murat Onur Yildirim, Elif Ceren Gok Yildirim, Joaquin Vanschoren2025 · 0 citationsarXiv
Robustness of AutoML on Dirty Categorical Data2602.00412v1 · Marcos L. P. Bueno, Joaquin Vanschoren2026 · 0 citationsarXiv
Evolving Machine Learning in Non-Stationary Environments: A Unified Survey of Drift, Forgetting, and Adaptation2505.17902v3 · Ignacio Cabrera Martin, Subhaditya Mukherjee, Almas Baimagambetov et al.2025 · 1 citationarXiv
Automated Machine Learning for Unsupervised Tabular Tasks2510.07569v2 · Prabhant Singh, Pieter Gijsbers, Elif Ceren Gok Yildirim et al.2025 · 1 citationarXiv
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation2510.06448v1 · Prabhant Singh, Sibylle Hess, Joaquin Vanschoren2025 · 0 citationsarXiv
Score Matching on Large Geometric Graphs for Cosmology Generation2508.16990v1 · Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren et al.2025 · 0 citationsarXiv
On Supernet Transfer Learning for Effective Task Adaptation2407.20279v3 · Prabhant Singh, Joaquin Vanschoren2024 · 0 citationsarXiv
Self-Regulated Neurogenesis for Online Data-Incremental Learning2403.14684v2 · Murat Onur Yildirim, Elif Ceren Gok Yildirim, Decebal Constantin Mocanu et al.2024 · 0 citationsarXiv
CrypticBio: A Large Multimodal Dataset for Visually Confusing Biodiversity2505.14707v1 · Georgiana Manolache, Gerard Schouten, Joaquin Vanschoren2025 · 1 citationarXiv
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons2503.05731v2 · Shaona Ghosh, Heather Frase, Adina Williams et al.2025 · 4 citationsarXiv
AutoML Benchmark with shorter time constraints and early stopping2504.01222v3 · Israel Campero Jurado, Pieter Gijsbers, Joaquin Vanschoren2025 · 0 citationsarXiv
Occam's model: Selecting simpler representations for better transferability estimation2502.06925v1 · Prabhant Singh, Sibylle Hess, Joaquin Vanschoren2025 · 0 citationsarXiv
Unsupervised Meta-Learning via In-Context Learning2405.16124v3 · Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren et al.2024 · 0 citationsarXiv
On dataset transferability in medical image classification2412.20172v1 · Dovile Juodelyte, Enzo Ferrante, Yucheng Lu et al.2024 · 1 citationarXiv
Croissant: A Metadata Format for ML-Ready Datasets2403.19546v3 · Mubashara Akhtar, Omar Benjelloun, Costanza Conforti et al.2024 · 20 citationsarXiv
Continual Learning on a Data Diet2410.17715v1 · Elif Ceren Gok Yildirim, Murat Onur Yildirim, Joaquin Vanschoren2024 · 0 citationsarXiv
TrustLLM: Trustworthiness in Large Language Models2401.05561v6 · Yue Huang, Lichao Sun, Haoran Wang et al.2024 · 54 citationsarXiv
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport2211.00372v1 · Prabhant Singh, Joaquin Vanschoren2022 · 3 citationsProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence 2023
Learning to Learn without Forgetting using Attention2408.03219v2 · Anna Vettoruzzo, Joaquin Vanschoren, Mohamed-Rafik Bouguelia et al.2024 · 0 citationsarXiv
Can time series forecasting be automated? A benchmark and analysis2407.16445v2 · Anvitha Thirthapura Sreedhara, Joaquin Vanschoren2024 · 0 citationsarXiv
A Standardized Machine-readable Dataset Documentation Format for Responsible AI2407.16883v1 · Nitisha Jain, Mubashara Akhtar, Joan Giner-Miguelez et al.2024 · 4 citationsarXiv
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis2407.16269v1 · Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren et al.2024 · 2 citationsarXiv
CLAMS: A System for Zero-Shot Model Selection for Clustering2407.11286v1 · Prabhant Singh, Pieter Gijsbers, Murat Onur Yildirim et al.2024 · 0 citationsarXiv
AdaCL:Adaptive Continual Learning2303.13113v3 · Elif Ceren Gok Yildirim, Murat Onur Yildirim, Mert Kilickaya et al.2023 · 0 citationsarXiv
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization2307.03565v3 · Jiarong Pan, Stefan Falkner, Felix Berkenkamp et al.2023 · 1 citationarXiv
Advances and Challenges in Meta-Learning: A Technical Review.38265905 · Vettoruzzo, Anna, Bouguelia, Mohamed-Rafik, Vanschoren, Joaquin et al.2024 · 307 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;46(7):4763-4779
DMLR: Data-centric Machine Learning Research -- Past, Present and Future2311.13028v2 · Luis Oala, Manil Maskey, Lilith Bat-Leah et al.2023 · 6 citationsarXiv
Introducing v0.5 of the AI Safety Benchmark from MLCommons2404.12241v2 · Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed et al.2024 · 5 citationsarXiv
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML2303.08485v2 · Hilde Weerts, Florian Pfisterer, Matthias Feurer et al.2023 · 23 citationsJournal of Artificial Intelligence Research 79 (2024) 639-677
Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms1812.02207v3 · Rafael Gomes Mantovani, Tom'as Horv'ath, Andr'e L. D. Rossi et al.2018 · 62 citationsarXiv
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates2308.14831v2 · Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar et al.2023 · 2 citationsarXiv
What Can AutoML Do For Continual Learning?2311.11963v1 · Mert Kilickaya, Joaquin Vanschoren2023 · 1 citationarXiv
AMLB: an AutoML Benchmark2207.12560v2 · Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors et al.2022 · 23 citationsarXiv
OpenML Benchmarking Suites1708.03731v3 · Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer et al.2017 · 23 citationsThirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021)
Multi-task learning with a natural metric for quantitative structure activity relationship learning.33430958 · Sadawi, Noureddin, Olier, Ivan, Vanschoren, Joaquin et al.2023 · 26 citationsJournal of cheminformatics. 2019;11(1):68
Locality-Aware Hyperspectral Classification2309.01561v1 · Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren2023 · 6 citationsarXiv
Neural Architecture Search for Visual Anomaly Segmentation2304.08975v3 · Tommie Kerssies, Joaquin Vanschoren2023 · 1 citationarXiv
Career total: 227 works. 92 are in this corpus.Showing the 50 most recent.
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