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Optimizing deep learning models for accurate molecular fingerprint prediction can actually *worsen* your ability to retrieve the correct molecule from mass spectrometry data.
Achieve state-of-the-art performance on tabular data with a low-latency model that efficiently captures high-order feature interactions via a low-rank tensor approximation.
