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Latent Programmer: Discrete Latent Codes for Program Synthesis., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4308-4318. PMLR, (2021)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). Trans. Mach. Learn. Res., (2023)Population-Based Black-Box Optimization for Biological Sequence Design., , , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 324-334. PMLR, (2020)Latent Programmer: Discrete Latent Codes for Program Synthesis., , , , and . CoRR, (2020)Is Transfer Learning Necessary for Protein Landscape Prediction?, , and . CoRR, (2020)Learning Hierarchical Semantic Segmentations of LIDAR Data., , and . 3DV, page 273-281. IEEE Computer Society, (2015)Towards Learning Universal Hyperparameter Optimizers with Transformers., , , , , , , , , and 2 other author(s). NeurIPS, (2022)Model-based reinforcement learning for biological sequence design., , , , , and . ICLR, OpenReview.net, (2020)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). CoRR, (2022)Language Model Cascades, , , , , , , , , and 2 other author(s). (2022)cite arxiv:2207.10342Comment: Presented as spotlight at the Beyond Bases workshop at ICML 2022 (https://beyond-bayes.github.io).