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Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning
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The effect of population structure and the mode of selection on multi-locus adaptation
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A Toy Model for the Evolution of Directed Motility
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Learning new physics from biology and data
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Long Time Scales and Hierarchical Structure in Drosophila Behavior
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Inferring phenomenological models of biological systems
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Representing Behavior with Recurrent Neural Networks
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Spatial and temporal criticality emerge from latent-variable models
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Inference, Dynamics, and Coarse-Graining of Large-Scale Biological Networks
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Beyond KPZ: Simulations of 1-d Surface Growth with memory
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Using Hierarchical Random Graphs (HRGs) to Model Brain Networks
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Single-cell-level Studies of Phenotypic Diversity in Bacteria
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