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Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules
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Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale
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The hidden linear structure in score-based models and its application
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On the Level Sets and Invariance of Neural Tuning Landscapes
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High-performance Evolutionary Algorithms for Online Neuron Control
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Factorized convolution models for interpreting neuron-guided images synthesis
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The Geometry of Deep Generative Image Models and its Applications
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On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation
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An example conference paper
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Jul 1, 2013