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Conor Tillinghast

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2020 – today

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2023
[c5]
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Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe:
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks. ICML 2023: 19855-19881
2022
[c4]
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Conor Tillinghast, Zheng Wang, Shandian Zhe:
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes. ICML 2022: 21432-21448
[c3]
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Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe:
Nonparametric Embeddings of Sparse High-Order Interaction Events. ICML 2022: 23237-23253
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  - journals/corr/abs-2207-03639
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Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe:
Nonparametric Embeddings of Sparse High-Order Interaction Events. CoRR abs/2207.03639 (2022)
2021
[c2]
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Conor Tillinghast, Shandian Zhe:
Nonparametric Decomposition of Sparse Tensors. ICML 2021: 10301-10311
[i1]
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  - journals/corr/abs-2110-10082
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Conor Tillinghast, Zheng Wang, Shandian Zhe:
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes. CoRR abs/2110.10082 (2021)
2020
[c1]
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Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe:
Probabilistic Neural-Kernel Tensor Decomposition. ICDM 2020: 531-540

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