Quotient Sets and Diophantine Equations. - Stephan Ramon Garcia; Vincent Selhorst-Jones; Daniel E. Poore; Noah Simon (Am. Math. Mon., 2011)

Exploring medical diagnostic performance using interactive, multi-parameter sourced receiver operating characteristic scatter plots. - Hyatt E. Moore IV; Olivier Andlauer; Noah Simon; Emmanuel Mignot (Comput. Biol. Medicine, 2014)

Convex Regression with Interpretable Sharp Partitions. - Ashley Petersen; Noah Simon; Daniela M. Witten (J. Mach. Learn. Res., 2016)

Nonparametric variable importance using an augmented neural network with multi-task learning. - Jean Feng; Brian D. Williamson; Marco Carone; Noah Simon (ICML, 2018)

Wavelet regression and additive models for irregularly spaced data. - Asad Haris; Ali Shojaie; Noah Simon (NeurIPS, 2018)

An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression. - Jean Feng; Noah Simon (CoRR, 2019)

Selective prediction-set models with coverage guarantees. - Jean Feng; Arjun Sondhi; Jessica Perry; Noah Simon (CoRR, 2019)

Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep. - Jean Feng; Scott Emerson; Noah Simon (CoRR, 2019)

Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features. - Craig A. Magaret; David C. Benkeser; Brian D. Williamson; Bhavesh Borate; Lindsay N. Carpp; Ivelin S. Georgiev; Ian Setliff; Adam S. Dingens; Noah Simon; Marco Carone; Christopher Simpkins; David C. Montefiori; et al. (PLoS Comput. Biol., 2019)

A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning. - Yunhua Xiang; Noah Simon (ICML, 2020)

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent. - Jan Klosa; Noah Simon; Pål O. Westermark; Volkmar Liebscher; Dörte Wittenburg (BMC Bioinform., 2020)

Survival Prediction Using Deep Learning. - Aliasghar Tarkhan; Noah Simon; Thomas Bengtsson; Trung Kien Nguyen; Jian Dai (SPACA, 2021)

The Future will be Different than Today: Model Evaluation Considerations when Developing Translational Clinical Biomarker. - Yichen Lu; Jane Fridlyand; Tiffany Tang; Ting Qi; Noah Simon; Ning Leng (CoRR, 2021)

Groupyr: Sparse Group Lasso in Python. - Adam C. Richie-Halford; Manjari Narayan; Noah Simon; Jason D. Yeatman; Ariel Rokem (J. Open Source Softw., 2021)

Multidimensional analysis and detection of informative features in human brain white matter. - Adam C. Richie-Halford; Jason D. Yeatman; Noah Simon; Ariel Rokem (PLoS Comput. Biol., 2021)

Attention-Based Deep Multiple Instance Learning with Adaptive Instance Sampling. - Aliasghar Tarkhan; Trung Kien Nguyen; Noah Simon; Thomas Bengtsson; Paolo Ocampo; Jian Dai (ISBI, 2022)

Investigation of Training Multiple Instance Learning Networks with Instance Sampling. - Aliasghar Tarkhan; Trung Kien Nguyen; Noah Simon; Jian Dai (REMIA@MICCAI, 2022)

Generalized Sparse Additive Models. - Asad Haris; Noah Simon; Ali Shojaie (J. Mach. Learn. Res., 2022)

Ensembled sparse-input hierarchical networks for high-dimensional datasets. - Jean Feng; Noah Simon (Stat. Anal. Data Min., 2022)

On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure. - Yunhua Xiang; Tianyu Zhang; Xu Wang; Ali Shojaie; Noah Simon (J. Mach. Learn. Res., 2023)

A Fitted Sparse-Group Lasso for Genome-Based Evaluations. - Jan Klosa; Noah Simon; Volkmar Liebscher; Dörte Wittenburg (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A Framework for Leveraging Machine Learning Tools to Estimate Personalized Survival Curves. - Charles J. Wolock; Peter B. Gilbert; Noah Simon; Marco Carone (J. Comput. Graph. Stat., 2024)