Dong‐Young Lim

1. Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
   2024/02/22 by YongKyung Oh, Dong‐Young Lim, Oh, YongKyung +3 · 10 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
2. On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates
   2023/11/22 by Stefano Bruno, Bruno, Stefano, Ying Zhang +7 · 6 citations
   Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Point processes and geometric inequalities #Probability (math.PR) #Statistical Methods and Inference
3. Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function
   2021/07/19 by Dong‐Young Lim, Lim, Dong-Young, Ariel Neufeld +5 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Probability (math.PR) #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques