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Theoretical guarantees in KL for Diffusion Flow Matching
Neural Information Processing Systems
A significant task in statistics and machine learning currently revolves around generating samples from a target distribution that is only accessible via a dataset.
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Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
Neural Information Processing Systems
While initial breakthroughs on the convergence of gradient optimization in neural networks (Li & Liang, 2018; Du et al., 2019a; Allen-Zhu et al., 2019) required unrealistic conditions on the
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
Human Expertise in Algorithmic Prediction
Neural Information Processing Systems
Algorithmic indistinguishability yields a natural test for assessing whether experts incorporate this kind of "side
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- Europe > Netherlands > North Holland > Amsterdam (0.04)
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- Research Report > New Finding (1.00)
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- Europe > Germany > Saarland (0.04)
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