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<정년퇴임기념강연> 회고
http://my.math.snu.ac.kr/board/index.php?mid=colloquia&document_srl=728840
2015.04.27
11:34:10
1800
Date
Jun 04, 2015
Speaker
김도한
Dept.
서울대
Room
129-101
Time
16:00-17:00
추후공지
List
Date
Time
Subject
Speaker
Room
Jun 03, 2021
16:00-17:00
<정년퇴임 기념강연> Hardy, Beurling, and invariant subspaces
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129-101
Sep 02, 2021
16:00-17:00
Diophantine equations and moduli spaces with nonlinear symmetry
황준호
129-101
Oct 07, 2021
16:00-17:00
Gromov-Witten invariant and holomorphic anomaly equation
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129-101
Sep 16, 2021
16:00-17:00
Heavy-tailed large deviations and deep learning's generalization mystery
이창한
129-101
Oct 21, 2021
16:00-17:00
돈은 어떻게 우리 삶에 돈며들었는가? (불확실성 시대에 부는 선형적으로 증가하는가 ?)
홍순옥
129-101
Dec 02, 2021
16:00-17:00
<정년퇴임 기념강연> 리만 가설에 관련된 옌센 다항식의 영점
김영원
129-101
Mar 17, 2022
16:00-17:00
Geometric structures and representation spaces
이계선
129-101
Mar 24, 2022
16:00-17:00
<학부생을 위한 ɛ 강연> Secure computation: Promise and challenges
송용수
129-101
Mar 31, 2022
16:00-17:00
A dissipative effect on some PDEs with physical singularity
김찬우
129-101
Apr 07, 2022
16:00-17:00
Mirror symmetry of pairings
이상욱
129-101
Apr 28, 2022
16:00-17:00
Geometric Langlands theory: A bridge between number theory and physics
유필상
129-101
May 12, 2022
16:00-17:00
<2020년도 젊은 과학자상 수상 기념강연> Metastability of stochastic systems
서인석
129-101
May 26, 2022
16:00-17:00
<정년퇴임 기념강연> Some remarks on PDEs and Numerical Analysis: some results developed at SNU
신동우
129-101
Sep 29, 2022
16:00-17:00
Contact topology of singularities and symplectic fillings
권명기
129-101
Oct 13, 2022
16:00-17:00
Towards Trustworthy Scientific Machine Learning: Theory, Algorithms, and Applications
신연종
129-101
Nov 03, 2022
16:00-17:00
Counting number fields and its applications
조재현
129-101
Nov 17, 2022
16:00-17:00
<학부생을 위한 ɛ 강연> Self-Supervised Learning in Computer Vision
현윤석
129-101
Dec 01, 2022
16:00-17:00
Birational Geometry of varieties with effective anti-canonical divisors
최성락
129-101
Mar 16, 2023
16:00-17:00
<학부생을 위한 ɛ 강연> 복잡한 생명현상을 위한 21세기 현미경, 수학!
김재경
129-101
Mar 23, 2023
16:00-17:00
Study stochastic biochemical systems via their underlying network structures
김진수
129-101
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