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Conor Tillinghast
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Conference and Workshop Papers
- 2023
- [c5]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]Conor Tillinghast, Zheng Wang, Shandian Zhe:
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes. ICML 2022: 21432-21448 - [c3]Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe:
Nonparametric Embeddings of Sparse High-Order Interaction Events. ICML 2022: 23237-23253 - 2021
- [c2]Conor Tillinghast, Shandian Zhe:
Nonparametric Decomposition of Sparse Tensors. ICML 2021: 10301-10311 - 2020
- [c1]Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe:
Probabilistic Neural-Kernel Tensor Decomposition. ICDM 2020: 531-540
Informal and Other Publications
- 2022
- [i2]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
- [i1]Conor Tillinghast, Zheng Wang, Shandian Zhe:
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes. CoRR abs/2110.10082 (2021)
Coauthor Index
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