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WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series., , and . CoRR, (2019)Learning Stochastic Optimal Policies via Gradient Descent., , , , , and . IEEE Control. Syst. Lett., (2022)Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture., , , , , , , , , and . CoRR, (2023)Learning Stochastic Optimal Policies via Gradient Descent., , , , , and . CoRR, (2021)Effectively Modeling Time Series with Simple Discrete State Spaces., , , , , and . ICLR, OpenReview.net, (2023)Graph Neural Ordinary Differential Equations., , , , , and . CoRR, (2019)Deep Latent State Space Models for Time-Series Generation., , , , and . CoRR, (2022)Zoology: Measuring and Improving Recall in Efficient Language Models., , , , , , , and . CoRR, (2023)Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations., , , , , and . NeurIPS, (2022)Hypersolvers: Toward Fast Continuous-Depth Models., , , , and . NeurIPS, (2020)