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  • title: Combining Recurrent, Convolutional, and Continuous-Time Models with Structured Learnable Linear State-Space Layers
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            Combining Recurrent, Convolutional, and Continuous-Time Models with Structured Learnable Linear State-Space Layers
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            Combining Recurrent, Convolutional, and Continuous-Time Models with Structured Learnable Linear State-Space Layers

            Dez 6, 2021

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            Isys Johnson

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            NeurIPS 2021

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            Über NeurIPS 2021

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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