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3D Protein Structure Predicted from Sequence, , , , , , and . CoRR, (2011)Critiquing Protein Family Classification Models Using Sufficient Input Subsets., , , , , , and . J. Comput. Biol., 27 (8): 1219-1231 (2020)AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions., , , , , , , , , and 1 other author(s). CoRR, (2023)Noisy, sparse, nonlinear: Navigating the Bermuda Triangle of physical inference with deep filtering., , , and . CoRR, (2019)Evaluating Attribution for Graph Neural Networks., , , , , , , , and . NeurIPS, (2020)Model-based reinforcement learning for biological sequence design., , , , , and . ICLR, OpenReview.net, (2020)Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry., , , , and . CoRR, (2018)MGnify: the microbiome sequence data analysis resource in 2023., , , , , , , , , and 11 other author(s). Nucleic Acids Res., 51 (D1): 753-759 (January 2023)Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers., , , , , , , , and . CoRR, (2020)Population-Based Black-Box Optimization for Biological Sequence Design., , , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 324-334. PMLR, (2020)