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Yinuo Ren

How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework

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Oct 04, 2024
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Optimal starting point for time series forecasting

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Sep 25, 2024
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Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity

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May 24, 2024
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Understanding the Generalization Benefits of Late Learning Rate Decay

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Jan 21, 2024
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Statistical Spatially Inhomogeneous Diffusion Inference

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Dec 10, 2023
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Infinite forecast combinations based on Dirichlet process

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Nov 24, 2023
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Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow

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Nov 22, 2023
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High-dimensional density estimation with tensorizing flow

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Dec 01, 2022
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Solving for high dimensional committor functions using neural network with online approximation to derivatives

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Dec 12, 2020
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