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2020 – today

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2024
[c2]
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  - conf/isit/LaiM24
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Kuo-Wei Lai, Vidya Muthukumar:
Sharp Analysis of Out-of-Distribution Error for "Importance-Weighted" Estimators in the Overparameterized Regime. ISIT 2024: 3701-3706
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  - journals/corr/abs-2405-06546
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Kuo-Wei Lai, Vidya Muthukumar:
Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime. CoRR abs/2405.06546 (2024)
2023
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  - journals/mia/FangLZ0S23
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Zhenghan Fang, Kuo-Wei Lai, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging. Medical Image Anal. 87: 102829 (2023)
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  - journals/corr/abs-2303-07475
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Kuo-Wei Lai, Vidya Muthukumar:
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions. CoRR abs/2303.07475 (2023)
2022
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  - journals/corr/abs-2209-04504
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Zhenghan Fang, Kuo-Wei Lai, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging. CoRR abs/2209.04504 (2022)
2020
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  - conf/miccai/LaiAZLS20
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Kuo-Wei Lai, Manisha Aggarwal, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
Learned Proximal Networks for Quantitative Susceptibility Mapping. MICCAI (2) 2020: 125-135
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  - journals/corr/abs-2008-05024
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Kuo-Wei Lai, Manisha Aggarwal, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
Learned Proximal Networks for Quantitative Susceptibility Mapping. CoRR abs/2008.05024 (2020)

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