Probabilistic Neural-Kernel Tensor Decomposition. - Conor Tillinghast; Shikai Fang; Kai Zhang 001; Shandian Zhe (ICDM, 2020)

Nonparametric Decomposition of Sparse Tensors. - Conor Tillinghast; Shandian Zhe (ICML, 2021)

Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes. - Conor Tillinghast; Zheng Wang 042; Shandian Zhe (ICML, 2022)

Nonparametric Embeddings of Sparse High-Order Interaction Events. - Zheng Wang 042; Yiming Xu; Conor Tillinghast; Shibo Li; Akil Narayan 001; Shandian Zhe (ICML, 2022)

Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks. - Shibo Li; Michael Penwarden; Yiming Xu; Conor Tillinghast; Akil Narayan 001; Mike Kirby; Shandian Zhe (ICML, 2023)

Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data. - Safiye Celik; Jan-Christian Hütter; Sandra Melo Carlos; Nathan H. Lazar; Rahul Mohan; Conor Tillinghast; Tommaso Biancalani; Marta M. Fay; Berton Earnshaw; Imran S. Haque (PLoS Comput. Biol., 2024)