Computational model for predicting experimental RNA and DNA nearest-neighbor free energy rankings CA Johnson, RJ Bloomingdale, VE Ponnusamy, CA Tillinghast, ... The Journal of Physical Chemistry B 115 (29), 9244-9251, 2011 | 22 | 2011 |
Probabilistic neural-kernel tensor decomposition C Tillinghast, S Fang, K Zhang, S Zhe 2020 IEEE International Conference on Data Mining (ICDM), 531-540, 2020 | 12* | 2020 |
Biological cartography: Building and benchmarking representations of life S Celik, JC Hütter, SM Carlos, NH Lazar, R Mohan, C Tillinghast, ... Biorxiv, 2022.12. 09.519400, 2022 | 9 | 2022 |
Nonparametric decomposition of sparse tensors C Tillinghast, S Zhe International Conference on Machine Learning, 10301-10311, 2021 | 8 | 2021 |
High-resolution genome-wide mapping of chromosome-arm-scale truncations induced by CRISPR-Cas9 editing NH Lazar, S Celik, L Chen, M Fay, JC Irish, J Jensen, CA Tillinghast, ... bioRxiv, 2023.04. 15.537038, 2023 | 6* | 2023 |
Nonparametric sparse tensor factorization with hierarchical Gamma processes C Tillinghast, Z Wang, S Zhe International Conference on Machine Learning, 21432-21448, 2022 | 6 | 2022 |
Meta learning of interface conditions for multi-domain physics-informed neural networks S Li, M Penwarden, Y Xu, C Tillinghast, A Narayan, RM Kirby, S Zhe arXiv preprint arXiv:2210.12669, 2022 | 4 | 2022 |
Nonparametric embeddings of sparse high-order interaction events Z Wang, Y Xu, C Tillinghast, S Li, A Narayan, S Zhe International Conference on Machine Learning, 23237-23253, 2022 | 2 | 2022 |
Reply to “Comment on'Computational Model for Predicting Experimental RNA and DNA Nearest-Neighbor Free Energy Rankings'” CA Johnson, RJ Bloomingdale, VE Ponnusamy, CA Tillinghast, ... The Journal of Physical Chemistry B 116 (28), 8333-8334, 2012 | 2 | 2012 |