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MolGANの紹介

 MolGANの紹介

Oshita Noriaki

June 07, 2019
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  1. ("/ min θ max ϕ x∼pdata (x) [logDϕ (x)] +

    z∼pz (z) [log(1 − Dϕ (Gθ (z))] ൑ผͰ͖ͳ͍Α͏ʹ͍ͨ͠ ൑ผ͍ͨ͠ (ʹΑͬͯੜ੒ͨ͠σʔλ ຊ෺ͷσʔλ͔Βֶश
  2. matrixX = [x1 , …, xN] T ∈ ℝN×T ֤෼ࢠ͸ແ޲άϥϑͰදݱͰ͖Δ

    લఏɿ A ∈ ℝN×N×YXIFSFAij ∈ ℝY ྡ઀ςϯιϧ ஫ऍߦྻ
  3. ෼ࢠؒͷྨࣅ౓ͷܭࢉํ๏͸ʁ "#JDLFSUPOFUBMʹॻ͍͍ͯΔɽ
 2&%ͱ͍͏ఆྔతͳਪఆΛߦ͍ͬͯΔɽdͷؒʹ஋Λ࣋ͪɼ
 ʹ͍ۙ΄Ͳ%SVHMJLFOFTTΛ΋ͭɽ QED = exp ( 1 n

    n ∑ i=1 ln di) ͜ͷத͕͚ۙΕ͹ༀΒ͍͠ͱ͍͑Δ EFTJSBCJMJUZGVODUJPOT 
 B C D E F G͸ύϥϝʔλ d(x) = a + b [ 1 + exp (− x − c + d 2 e )] 1 − 1 [ 1 + exp (− x − c − d 2 f )] Y෼ࢠهड़ࢠ