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cs.LG2023★ 3 cited
PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers
Yuxuan Liu, Zecheng Zhang, Hayden Schaeffer
Approximating nonlinear differential equations using a neural network provides a robust and efficient tool for various scientific computing tasks, including real-time predictions,…
cs.LG2021★ 2 cited
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning
Yuege Xie, Bobby Shi, Hayden Schaeffer +1
Sparse shrunk additive models and sparse random feature models have been developed separately as methods to learn low-order functions, where there are few interactions between vari…