| From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers K Choromanski, H Lin, H Chen, T Zhang, A Sehanobish, V Likhosherstov, ... International Conference on Machine Learning, 3962-3983, 2022 | 18 | 2022 |
| Transfer learning for predicting virus-host protein interactions for novel virus sequences J Lanchantin, T Weingarten, A Sekhon, C Miller, Y Qi Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021 | 8 | 2021 |
| Learning a fourier transform for linear relative positional encodings in transformers K Choromanski, S Li, V Likhosherstov, KA Dubey, S Luo, D He, Y Yang, ... International Conference on Artificial Intelligence and Statistics, 2278-2286, 2024 | 5 | 2024 |
| Transfer learning with motiftrans-formers for predicting protein-protein interactions between a novel virus and humans J Lanchantin, A Sekhon, C Miller, Y Qi BioRxiv 2020, 2020 | 4 | 2020 |
| Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers K Marcin Choromanski, S Li, V Likhosherstov, K Avinava Dubey, S Luo, ... arXiv e-prints, arXiv: 2302.01925, 2023 | | 2023 |
| A Multi-Sighted Approach To Bridge The Gap Between All-Atom And Coarse-Grained Force Fields TA Weingarten New York University, 2012 | | 2012 |
