J. J. Miller

Duke University — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

30h-index4.9kcitations137works0.52yr avg
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Research Topics

Fungal and yeast genetics research(29), Yeasts and Rust Fungi Studies(16), Fermentation and Sensory Analysis(14), Topic Modeling(11), Advanced Statistical Methods and Models(9)

Publications136 total

P02.18.A TUMOR-SECRETED (R)-2-HYDROXYGLUTARATE ACTIVATES NEURONS TO PRODUCE MITOGENS THAT PROMOTE IDH MUTANT GLIOMA GROWTH, FOSTERING A PARACRINE SIGNALING LOOP WITHIN THE TUMOR MICROENVIRONMENT
Neuro-Oncology·2025Open Access
Targeted Variance Reduction: Effective Bayesian Optimization of Black-Box Simulators with Noise Parameters
Technometrics·2025
Local-Transfer Gaussian Process (LTGP) Learning for Multi-Fuel Capable Engines
2025· 1 cited
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
arXiv (Cornell University)·2024· 1 citedOpen Access
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
arXiv (Cornell University)·2021· 30 citedOpen Access
Accuracy on the Line: On the Strong Correlation Between\n Out-of-Distribution and In-Distribution Generalization
arXiv (Cornell University)·2021· 30 citedOpen Access
Erratum for Miller et al., “Phylogenetic and Biogeographic Patterns of Vibrio parahaemolyticus Strains from North America Inferred from Whole-Genome Sequence Data”
Applied and Environmental Microbiology·2021· 8 citedOpen Access
Phylogenetic and Biogeographic Patterns of Vibrio parahaemolyticus Strains from North America Inferred from Whole-Genome Sequence Data
Applied and Environmental Microbiology·2020· 22 citedOpen Access
Test-Time Training for Generalization under Distribution Shifts
2020
What Are the Elements of Good Sleep Hygiene
2020
The Effect of Natural Distribution Shift on Question Answering Models
arXiv (Cornell University)·2020· 22 citedOpen Access
Preparing and Helping Patients Deal With Self-Isolation
2020
Using machine learning to understand mutations
Bulletin of the American Physical Society·2020· 1 cited
Reconstruction of metagenome-assembled genomes from past and extant microbial populations in ancient Siberian permafrost
AGU Fall Meeting Abstracts·2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
arXiv (Cornell University)·2019· 70 citedOpen Access
Test-Time Training for Out-of-Distribution Generalization
2019· 50 cited
Model Similarity Mitigates Test Set Overuse
arXiv (Cornell University)·2019· 4 citedOpen Access
A Meta-Analysis of Overfitting in Machine Learning
Neural Information Processing Systems·2019· 92 cited
Stable Recurrent Models.
International Conference on Learning Representations·2018· 31 cited
Stable Recurrent Models
arXiv (Cornell University)·2018· 72 citedOpen Access
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Frequent Co-authors

Sercan Ö. Arık(7), Andrew Gibiansky(7), Jonathan Raiman(7), Moritz Hardt(6), Wei Ping(5), Kainan Peng(5), Gregory Diamos(4), Percy Liang(4), Ludwig Schmidt(4), Ajay Kannan(3), Sharan Narang(3), Vaishaal Shankar(3), Charles F. Delwiche(2), Mike Chrzanowski(2), Adam Coates(2), Yongguo Kang(2), Xian Li(2), Andrew Y. Ng(2), Shubho Sengupta(2), Mohammad Shoeybi(2)