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Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

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MINDS SEMINAR

MINDS Seminar Series | U-Jin Choi (KAIST) - Denoising Diffusion Probability Models(DDPM) and Consistency Models

MINDS SEMINAR
period : 2024-02-21 ~ 2024-02-21
time : 16:00:00 ~ 18:00
개졜 μž₯μ†Œ : Math Bldg 404 & Online streaming (Zoom)
Topic : Denoising Diffusion Probability Models(DDPM) and Consistency Models
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Date 2024-02-21 ~ 2024-02-21 Time 16:00:00 ~ 18:00
Speaker U-Jin Choi Affiliation KAIST
Place Math Bldg 404 & Online streaming (Zoom) Streaming link ID : 688 896 1076 / PW : 54321
Topic Denoising Diffusion Probability Models(DDPM) and Consistency Models
Contents Ho κ΅μˆ˜νŒ€μ΄ 2020에 λ°œν‘œν•œ DDPM은 Discrete- Time 생성λͺ¨λΈμ˜ μƒˆλ‘œμš΄ λ°©ν–₯κ³Ό μ„±λŠ₯을 μ œμ‹œν•œ μ—°κ΅¬λ‘œ 이후 λ‹€μ–‘ν•œ ν˜•νƒœμ˜ 후속연ꡬ가 λ°œν‘œ 되고 있으며 μ•Œκ³ λ¦¬μ¦˜μ˜ 가속화 연ꡬ와 μ‘μš©μ—°κ΅¬κ°€ λ°œν‘œ 되고 μžˆμŠ΅λ‹ˆλ‹€. 이 λ…Όλ¬Έμ—μ„œ μœ λ„ 된 μœ μš©ν•œ 등식과 Variational Lower Bound μ΅œμ ν™” ν•˜λŠ” 전과정을 심측뢄석및 ν† μ˜κ°€ μžˆκ² μŠ΅λ‹ˆλ‹€. ν•œνŽΈ Song et al은 2021에 DDPM을 Continuous-Time으둜 ν™•μž₯ν•œ Score-Based Generative Modeling through SDE의 λŠλ¦°μ•Œκ³ λ¦¬μ¦˜ 속도λ₯Ό 가속화 ν•œ Consistency Models을 μ œμ‹œν•˜μ˜€μŠ΅λ‹ˆλ‹€. Consistency Models은 Song이 μ œμ‹œν•œ Probability Flow ODEμ—μ„œ μΆœλ°œν•œ μ•Œκ³ λ¦¬μ¦˜μœΌλ‘œ μžμ‹ λ“€μ΄ μ œμ‹œν•œ SDE기반 μ—°μ†μ‹œκ°„ 생성λͺ¨λΈ μ•Œκ³ λ¦¬μ¦˜μ„ 가속화 ν•œ μ—°κ΅¬μž…λ‹ˆλ‹€. μ›λ¦¬λŠ” 맀우 λ‹¨μˆœ ν•˜μ§€λ§Œ μ‘μš©μ„±μ΄ 맀우 λ‹€μ–‘ν•˜λ―€λ‘œ μ„Έλ°€ν•œ λΆ„μ„κ³Όν† μ˜λ‘œ 진행 λ©λ‹ˆλ‹€.
MinDS MinDS Β· 2024-02-16 14:43 Β· Views 164

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