283 citations · 490 across the 13 of their papers we have counts for
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physics.app-ph2024★ 1 cited
Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning
Mary V. Bastawrous, Zhi Chen, Alexander C. Ogren +3
Manipulating the dispersive characteristics of vibrational waves is beneficial for many applications, e.g., high-precision instruments. architected hierarchical phononic materials…
cs.LG2024
Sparse and Faithful Explanations Without Sparse Models
Yiyang Sun, Zhi Chen, Vittorio Orlandi +2
Even if a model is not globally sparse, it is possible for decisions made from that model to be accurately and faithfully described by a small number of features. For instance, an…