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Susan Wei
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2020 – today
- 2024
- [c5]Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong:
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. ICLR 2024 - [i12]Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong:
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. CoRR abs/2401.10632 (2024) - [i11]Jesse Hoogland, George Wang, Matthew Farrugia-Roberts, Liam Carroll, Susan Wei, Daniel Murfet:
The Developmental Landscape of In-Context Learning. CoRR abs/2402.02364 (2024) - [i10]Michael Munn, Susan Wei:
Leveraging free energy in pretraining model selection for improved fine-tuning. CoRR abs/2410.05612 (2024) - 2023
- [j5]Susan Wei, Daniel Murfet, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella:
Deep Learning Is Singular, and That's Good. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10473-10486 (2023) - [i9]Susan Wei, Edmund Lau:
Variational Bayesian Neural Networks via Resolution of Singularities. CoRR abs/2302.06035 (2023) - [i8]Hui Li, Carlos A. Peña-Solórzano, Susan Wei, Davis J. McCarthy:
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset. CoRR abs/2305.12068 (2023) - [i7]Edmund Lau, Daniel Murfet, Susan Wei:
Quantifying degeneracy in singular models via the learning coefficient. CoRR abs/2308.12108 (2023) - [i6]Zhongtian Chen, Edmund Lau, Jake Mendel, Susan Wei, Daniel Murfet:
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition. CoRR abs/2310.06301 (2023) - 2022
- [j4]Hui Li, Davis J. McCarthy, Heejung Shim, Susan Wei:
Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics. BMC Bioinform. 23(1): 460 (2022) - [j3]Susan Wei, Marc Niethammer:
The fairness-accuracy Pareto front. Stat. Anal. Data Min. 15(3): 287-302 (2022) - [c4]Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong:
Counterfactual Fairness with Partially Known Causal Graph. NeurIPS 2022 - [i5]Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong:
Counterfactual Fairness with Partially Known Causal Graph. CoRR abs/2205.13972 (2022) - 2020
- [c3]François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer:
A shooting formulation of deep learning. NeurIPS 2020 - [i4]François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer:
A Shooting Formulation of Deep Learning. CoRR abs/2006.10330 (2020) - [i3]Nathaniel J. Bloomfield, Susan Wei, Bartholomew Woodham, Peter Wilkinson, Andrew Robinson:
Automating the assessment of biofouling in images using expert agreement as a gold standard. CoRR abs/2008.09289 (2020) - [i2]Susan Wei, Marc Niethammer:
The Fairness-Accuracy Pareto Front. CoRR abs/2008.10797 (2020) - [i1]Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella:
Deep Learning is Singular, and That's Good. CoRR abs/2010.11560 (2020)
2010 – 2019
- 2018
- [j2]Phuong D. Ngo, Susan Wei, Anna Holubová, Jan Muzík, Fred Godtliebsen:
Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. Comput. Math. Methods Medicine 2018: 4091497:1-4091497:8 (2018) - [c2]Phuong D. Ngo, Susan Wei, Anna Holubová, Jan Muzík, Fred Godtliebsen:
Reinforcement-learning optimal control for type-1 diabetes. BHI 2018: 333-336 - [c1]Jonas Nordhaug Myhre, Ilkka K. Launonen, Susan Wei, Fred Godtliebsen:
Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features. MLSP 2018: 1-6 - 2017
- [j1]Andrei Irimia, Susan Wei, Nanshu Lu, Constance M. Moore, David N. Kennedy:
Mobile Monitoring of Traumatic Brain Injury in Older Adults: Challenges and Opportunities. Neuroinformatics 15(3): 227-230 (2017) - 2014
- [b1]Susan Wei:
Latent supervised learning and DiProPerm. University of North Carolina, Chapel Hill, USA, 2014
Coauthor Index
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