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Gaël Varoquaux

  1. Why do tree-based models still outperform deep learning on tabular data?
    2022/07/18 by Léo Grinsztajn, Edouard Oyallon, Grinsztajn, Léo +3 · 7 voices · 32 citations
    #cs.LG #cs.AI #stat.ME #stat.ML
  2. Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI
    2024/09/21 by Gaël Varoquaux, Alexandra Sasha Luccioni, Varoquaux, Gaël +3 · 18 voices · 19 citations
    #cs.CY
  3. API design for machine learning software: experiences from the scikit-learn project
    2013/09/01 by Lars Buitinck, Gilles Louppe, Mathieu Blondel +12 · 3 voices · 15 citations
    Computer Science · #cs.LG #cs.MS
  4. Machine Learning for Neuroimaging with Scikit-Learn
    2014/12/12 by Alexandre Abraham, Abraham, Alexandre, Fabian Pedregosa +15 · 24 citations
    Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function
  5. Accounting for Variance in Machine Learning Benchmarks
    2021/03/01 by Xavier Bouthillier, Pierre Delaunay, Bouthillier, Xavier +31 · 2 voices · 17 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
  6. Causal inference methods for combining randomized trials and observational studies: a review
    2020/11/16 by Bénédicte Colnet, Colnet, Bénédicte, Imke Mayer +15 · 21 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
  7. TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
    2025/02/08 by Jingang Qu, Qu, Jingang, David Holzmüller +5 · 51 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  8. Performance evaluation of predictive AI models to support medical\n decisions: Overview and guidance
    2024/12/13 by Ben Van Calster, Professor Gary S. Collins, Van Calster, Ben +32 · 7 voices · 5 citations
    Economics, Econometrics and Finance · Health Professions · Medicine · #Artificial Intelligence in Healthcare and Education #Health Systems, Economic Evaluations, Quality of Life #Healthcare cost, quality, practices #cs.LG #stat.ME #stat.ML
  9. Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize?
    2023/03/28 by Bénédicte Colnet, Julie Josse, Colnet, Bénédicte +5 · 4 voices · 7 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #stat.ME
  10. CARTE: Pretraining and Transfer for Tabular Learning
    2024/02/26 by Myung Jun Kim, Léo Grinsztajn, Kim, Myung Jun +3 · 14 citations
    Decision Sciences · Computer Science · #Data Quality and Management #Topic Modeling #Advanced Graph Neural Networks
  11. International AI Safety Report
    2025/01/29 by Yoshua Bengio, Sören Mindermann, Bengio, Yoshua +180 · 24 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. What's a good imputation to predict with missing values?
    2021/06/01 by Marine Le Morvan, Morvan, Marine Le, Julie Josse +5 · 8 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  13. Cross-validation failure: small sample sizes lead to large error bars
    2017/06/23 by Gaël Varoquaux, Varoquaux, Gaël · 5 citations
    Neuroscience · Medicine · Computer Science · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Quantitative Methods (q-bio.QM)
  14. On the consistency of supervised learning with missing values
    2019/02/19 by Julie Josse, Josse, Julie, Chen, Jacob M. +6 · 6 citations
    Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistics Theory (math.ST)
  15. What is the Role of Small Models in the LLM Era: A Survey
    2024/09/10 by Lihu Chen, Gaël Varoquaux, Chen, Lihu +1 · 13 citations
    Computer Science · Social Sciences · #Digital Rights Management and Security #Artificial Intelligence in Law #Multi-Agent Systems and Negotiation
  16. Brain covariance selection: better individual functional connectivity models using population prior
    2010/08/30 by Gaël Varoquaux, Varoquaux, Gaël, Alexandre Gramfort +5 · 3 citations
    Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (stat.ML) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
  17. Comparing distributions: \ℓ1 geometry improves kernel two-sample\n testing
    2019/09/19 by Meyer Scetbon, Scetbon, M., Gaël Varoquaux +1 · 5 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Statistical Methods and Inference
  18. On the consistency of supervised learning with missing values
    2024/09/12 by Julie Josse, Jacob M. Chen, Nicolas Prost +2 · 5 citations
    Computer Science · Engineering · #Control Systems and Identification #Face and Expression Recognition #Neural Networks and Applications
  19. Benchmarking missing-values approaches for predictive models on health databases
    2022/02/17 by Alexandre Perez-Lebel, Perez-Lebel, Alexandre, Gaël Varoquaux +7 · 2 citations
    Computer Science · Mathematics · Medicine · #Machine Learning in Healthcare #Statistical Methods and Bayesian Inference #Sepsis Diagnosis and Treatment
  20. I.C.E.: a Transportable Atomic Inertial Sensor for Test in Microgravity
    2006/05/02 by Robert A. Nyman, Nyman, Robert A., Gaël Varoquaux +23 · 1 citation
    Physics and Astronomy · #Advanced Frequency and Time Standards #Atomic and Subatomic Physics Research #Cold Atom Physics and Bose-Einstein Condensates #FOS: Physical sciences #Other Condensed Matter (cond-mat.other)
  21. Advancing Science- and Evidence-based AI Policy
    2025/07/31 by Rishi Bommasani, Sanjeev Arora, Bommasani, Rishi +37 · 1 voice · 6 citations
    Medicine · Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences
  22. Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
    2024/10/22 by Julie Alberge, Alberge, Julie, Vincent Maladière +8 · 1 voice · 3 citations
    Computer Science · Mathematics · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Statistical Methods and Inference #cs.AI #cs.LG #stat.ML
  23. Imputation for prediction: beware of diminishing returns
    2024/07/29 by Marine Le Morvan, Morvan, Marine Le, Gaël Varoquaux +1 · 1 voice · 2 citations
    Decision Sciences · #Forecasting Techniques and Applications #Stock Market Forecasting Methods #cs.AI #cs.LG #stat.ML
  24. Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance
    2025/12/01 by Ben Van Calster, Professor Gary S. Collins, Andrew J. Vickers +11 · 2 voices · 5 citations
    Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI)
  25. Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
    2024/09/26 by Evangelia Christodoulou, Christodoulou, Evangelia, Annika Reinke +44 · 1 voice · 2 citations
    Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education
  26. A Lightweight Neural Model for Biomedical Entity Linking
    2020/12/16 by Lihu Chen, Chen, Lihu, Gaël Varoquaux +3 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Topic Modeling
  27. TabICLv2: A better, faster, scalable, and open tabular foundation model
    2026/02/11 by Jingang Qu, David Holzmüller, Gaël Varoquaux +1 · 1 voice · 4 citations
    #cs.LG
  28. Retrieve, Merge, Predict: Augmenting Tables with Data Lakes
    2024/01/31 by Riccardo Cappuzzo, Cappuzzo, Riccardo, Coelho, Aimee +5 · 2 citations
    Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Data Mining Algorithms and Applications #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models\n Robust with Little Cost
    2022/03/15 by Lihu Chen, Gaël Varoquaux, Chen, Lihu +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  30. Reconfidencing LLMs from the Grouping Loss Perspective
    2024/02/07 by Lihu Chen, Chen, Lihu, Alexandre Perez-Lebel +5 · 3 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  31. Table Foundation Models: on knowledge pre-training for tabular learning
    2025/05/20 by Myung Jun Kim, Kim, Myung Jun, Lefebvre, Félix +6 · 3 citations
    Decision Sciences · Computer Science · Social Sciences · #Data Quality and Management #Data Visualization and Analytics #Computational and Text Analysis Methods
  32. How to select predictive models for decision-making or causal inference
    2025/01/01 by Matthieu Doutreligne, Gaël Varoquaux · 1 voice · 2 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI)
  33. False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
    2025/05/07 by Evangelia Christodoulou, Annika Reinke, Christodoulou, Evangelia +46 · 2 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Radiomics and Machine Learning in Medical Imaging
  34. Learning High-Quality and General-Purpose Phrase Representations
    2024/01/18 by Chen, Lihu, Gaël Varoquaux, Varoquaux, Gaël +2 · 1 citation
    Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  35. International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
    2025/10/15 by Yoshua Bengio, Bengio, Yoshua, Stephen Clare +134 · 1 citation
    Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences