Stochastic Differential Equation

Diffusion model 이해하기 위한 확률미분방정식(SDE: Stochastic Differential Equation)과 미분방정식(ODE: Ordinary Differential Equation)

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이 세미나를 듣기 전에 아래의 내용들을 정말 잘 알고 있어야 합니다. random variable random vector pdf (probability density function) expectation mean variance 가우시안 랜덤벡터 (gaussian random vector) independent 자료제공자의 확률미분방정식 관련 경력사항 학부생때 문과생들도 듣는 확률과 통계 들음 (고등학생도 푸는 문제 위주이고 엑셀로 정규분포 끄적거리던 수준) 석사과정일 때 확률론 들음 (공대에서 듣는 랜덤프로세스보다 범위가 한참 … Read more

[논문리뷰세미나] Score-Based Generative Modeling through Stochastic Differential Equations

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[발표자료_1]이성규_Score-based generative modeling through stochastic differential equations [발표자료_2]이성규_Score-based generative modeling through stochastic differential equations [발표자료_3]이성규_Score-based generative modeling through stochastic differential equations

[논문리뷰세미나] Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions

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[논문리뷰세미나] Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions [ppt] 세미나자료(공유용)_2023_10_05_이성규_Computational Doob h-transforms for Online Filtering of Discretely Observed.pdf [pdf] 세미나자료(공유용)_2023_10_05_이성규_Computational Doob h-transforms for Online Filtering of Discretely Observed.pptx

[논문리뷰] Modifying Flow Matching for Generative Speech Enhancement (Roman Korostik, Rauf Nasretdinov, Ante Jukić) in ICASSP 2025

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[논문리뷰] Modifying Flow Matching for Generative Speech Enhancement (Roman Korostik, Rauf Nasretdinov, Ante Jukić) in ICASSP 2025  저자들은 생성모델인 Flow matching을 denoising과 dereverberation을 위한 speech enhancement에 적용하였다. Flow matching은 Diffusion의 느린 inference 속도를 빠르게 하는 기법으로써 주목받고 있다. baseline 모델이 50회의 함수 호출을 필요로 하는데 비해 저자들은 단 한번의 호출로 denoising에서는 diffusion 계열의 baseline의 … Read more

Perturbation kernels in diffusion models.

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In this post, I will introduce perturbation kernels in diffusion models. Before reading this post, I recommend reading my previous posts. Reverse SDE in diffusion models Denoising score matching loss in diffusion models Score model in diffusion models Score function of a stochastic process Forward stochastic differential equation (SDE) Forward SDE describes a process where … Read more

Score model in diffusion models

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In this post, I will introduce the score model in diffusion models. I recommend reading my previous posts before proceedings. Reverse SDE in diffusion models Score function of a stochastic process Reverse stochastic differential equation (SDE) In diffusion models, data samples are generated by integrating reverse SDE: where is the score function of . Score … Read more

Score function of a stochastic process

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In this post, I will introduce the score function of a stochastic process. Before proceeding, I recommend that reading my previous posts below Score function of a random vector stochastic process, random process, 랜덤프로세스, 확률과정의 정의 Stochastic process A stochastic process is a collection of random vectors . For each time index , is a … Read more