Latent supervised learning and DiProPerm. - Susan Wei (2014)

Mobile Monitoring of Traumatic Brain Injury in Older Adults: Challenges and Opportunities. - Andrei Irimia; Susan Wei; Nanshu Lu; Constance M. Moore; David N. Kennedy (Neuroinformatics, 2017)

Reinforcement-learning optimal control for type-1 diabetes. - Phuong D. Ngo; Susan Wei; Anna Holubová; Jan Muzík; Fred Godtliebsen (BHI, 2018)

Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features. - Jonas Nordhaug Myhre; Ilkka K. Launonen; Susan Wei; Fred Godtliebsen (MLSP, 2018)

Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. - Phuong D. Ngo; Susan Wei; Anna Holubová; Jan Muzík; Fred Godtliebsen (Comput. Math. Methods Medicine, 2018)

A shooting formulation of deep learning. - François-Xavier Vialard; Roland Kwitt; Susan Wei; Marc Niethammer (NeurIPS, 2020)

Automating the assessment of biofouling in images using expert agreement as a gold standard. - Nathaniel J. Bloomfield; Susan Wei; Bartholomew Woodham; Peter Wilkinson; Andrew Robinson 003 (CoRR, 2020)

Counterfactual Fairness with Partially Known Causal Graph. - Aoqi Zuo; Susan Wei; Tongliang Liu; Bo Han 003; Kun Zhang 001; Mingming Gong (NeurIPS, 2022)

Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics. - Hui Li; Davis J. McCarthy; Heejung Shim; Susan Wei (BMC Bioinform., 2022)

The fairness-accuracy Pareto front. - Susan Wei; Marc Niethammer (Stat. Anal. Data Min., 2022)

Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset. - Hui Li; Carlos A. Peña-Solórzano; Susan Wei; Davis J. McCarthy (CoRR, 2023)

Quantifying degeneracy in singular models via the learning coefficient. - Edmund Lau; Daniel Murfet; Susan Wei (CoRR, 2023)

Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition. - Zhongtian Chen; Edmund Lau; Jake Mendel; Susan Wei; Daniel Murfet (CoRR, 2023)

Deep Learning Is Singular, and That's Good. - Susan Wei; Daniel Murfet; Mingming Gong; Hui Li; Jesse Gell-Redman; Thomas Quella (IEEE Trans. Neural Networks Learn. Syst., 2023)

Pathwise Gradient Variance Reduction with Control Variates in Variational Inference. - Kenyon Ng; Susan Wei (AI (2), 2024)

Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. - Aoqi Zuo; Yiqing Li 002; Susan Wei; Mingming Gong (ICLR, 2024)

The Developmental Landscape of In-Context Learning. - Jesse Hoogland; George Wang; Matthew Farrugia-Roberts; Liam Carroll; Susan Wei; Daniel Murfet (CoRR, 2024)

Leveraging free energy in pretraining model selection for improved fine-tuning. - Michael Munn; Susan Wei (CoRR, 2024)

Variational Bayesian Neural Networks via Resolution of Singularities. - Susan Wei; Edmund Lau (J. Comput. Graph. Stat., 2024)

The Local Learning Coefficient: A Singularity-Aware Complexity Measure. - Edmund Lau; Zach Furman; George Wang; Daniel Murfet; Susan Wei (AISTATS, 2025)

Temperature Optimization for Bayesian Deep Learning. - Kenyon Ng; Chris van der Heide; Liam Hodgkinson; Susan Wei (UAI, 2025)

Loss Landscape Degeneracy and Stagewise Development in Transformers. - Jesse Hoogland; George Wang; Matthew Farrugia-Roberts; Liam Carroll; Susan Wei; Daniel Murfet (Trans. Mach. Learn. Res., 2025)

You Are What You Eat - AI Alignment Requires Understanding How Data Shapes Structure and Generalisation. - Simon Pepin Lehalleur; Jesse Hoogland; Matthew Farrugia-Roberts; Susan Wei; Alexander Gietelink Oldenziel; George Wang; Liam Carroll; Daniel Murfet (CoRR, 2025)