Henrik Marklund

Stanford University — United States

Computer Science · Physical Sciences

8h-index578citations17works0.22yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(6), COVID-19 diagnosis using AI(4), Machine Learning and Data Classification(3), Advanced Neural Network Applications(2), Lung Cancer Diagnosis and Treatment(2)

Publications17 total

International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs
NEJM AI·2025· 1 cited
Granular feedback merits sophisticated aggregation
arXiv (Cornell University)·2025Open Access
Continual Learning as Computationally Constrained Reinforcement Learning
Foundations and Trends® in Machine Learning·2025
Test-Time Alignment via Hypothesis Reweighting
arXiv (Cornell University)·2024Open Access
Adaptive Crowdsourcing Via Self-Supervised Learning
arXiv (Cornell University)·2024Open Access
The MAIDA initiative: establishing a framework for global medical-imaging data sharing
The Lancet Digital Health·2023· 20 citedOpen Access
Maintaining Plasticity in Continual Learning via Regenerative Regularization
arXiv (Cornell University)·2023· 2 citedOpen Access
Continual Learning as Computationally Constrained Reinforcement Learning
arXiv (Cornell University)·2023· 2 citedOpen Access
Extending the WILDS Benchmark for Unsupervised Adaptation
arXiv (Cornell University)·2021· 12 citedOpen Access
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift
arXiv (Cornell University)·2021· 39 citedOpen Access
Deep learning assistance for the histopathologic diagnosis of Helicobacter pylori
Intelligence-Based Medicine·2020· 29 citedOpen Access
Deep learning-based Helicobacter pylori detection for histopathology: A diagnostic study
2020· 1 citedOpen Access
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Distribution Shift
arXiv (Cornell University)·2020· 25 citedOpen Access
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
arXiv (Cornell University)·2020· 28 citedOpen Access
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Proceedings of the AAAI Conference on Artificial Intelligence·2019· 391 citedOpen Access
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and\n Expert Comparison
arXiv (Cornell University)·2019· 28 citedOpen Access
The impact of a negative repo rate on corporate financing decisions: the Swedish case
Chalmers Publication Library (Chalmers University of Technology)·2017Open Access

Frequent Co-authors

Chelsea Finn(5), Benjamin Van Roy(5), Andrew Y. Ng(4), Sergey Levine(4), Pranav Rajpurkar(3), Nikita Dhawan(3), Abhishek Gupta(3), Saurabh Kumar(3), Hong Jun Jeon(3), Jeremy Irvin(2), Silviana Ciurea-Ilcus(2), Chris Chute(2), Behzad Haghgoo(2), Robyn L. Ball(2), Katie Shpanskaya(2), Jayne Seekins(2), David A. Mong(2), Safwan S. Halabi(2), Jesse K. Sandberg(2), David B. Larson(2)