We propose a flexible conditional modeling framework that learns structured dependencies between variables by blending linear and nonlinear transformations.
machine-learning deep-learning kl-divergence synthetic-data training-techniques adaptive-models conditional-modeling linear-nonlinear-mixtures structured-dependency-learning spiral-dataset openmathreasoning text-derived-embeddings
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Updated
Apr 28, 2025 - Jupyter Notebook