Thursday, May 5, 2022

2022-05-11 / 16:00 ~ 17:00

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A subset V of a domain Ω has the extension property if for every holomorphic function p on V there is a bounded holomorphic function φ on Ω that agrees with p on V and whose sup-norm on Ω equals the sup-norm of p on V. Within the talk, we shall study mutual relations between extension property and interpolations problems.

2022-05-11 / 15:00 ~ 16:30

학과 세미나/콜로퀴엄 - 박사논문심사: 랜덤 행렬의 합과 곱의 극대 고유값

by 박재휘(KAIST)

심사위원장 : 이지운, 심사위원 : 강남규(겸직교수), 서인석(서울대학교 수리과학부), 폴정, 남경식

2022-05-12 / 16:00 ~ 17:30

학과 세미나/콜로퀴엄 - 박사논문심사: 가우시안 확률과정을 이용한 자료연관 기법과 특성 선택 기법

by 전영환(KAIST)

심사위원장 : 황강욱, 심사위원 : 강완모, 정연승, 전현호, 문일철(산업및시스템공학과)

2022-05-12 / 14:30 ~ 15:45

SAARC 세미나 - SAARC 세미나:

by 김영헌(브리티시컬럼비아 대학)

2022-05-10 / 16:00 ~ 17:15

SAARC 세미나 - SAARC 세미나:

by 김영헌(브리티시컬럼비아 대학)

2022-05-09 / 16:30 ~ 17:30

IBS-KAIST 세미나 - 이산수학: Large deviations for subgraph counts in random graphs

by 남경식(KAIST)

The upper tail problem for subgraph counts in the Erdos-Renyi graph, introduced by Janson-Ruciński, has attracted a lot of attention. There is a class of Gibbs measures associated with subgraph counts, called exponential random graph model (ERGM). Despite its importance, lots of fundamental questions have remained unanswered owing to the lack of exact solvability. In this talk, I will talk about a brief overview on the upper tail problem and the concentration of measure results for the ERGM. Joint work with Shirshendu Ganguly and Ella Hiesmayr.

2022-05-12 / 11:00 ~ 12:00

IBS-KAIST 세미나 - 수리생물학:

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I will first describe how to extend the theory of balanced networks to account for synaptic plasticity. This theory can be used to show when a plastic network will maintain balance, and when it will be driven into an unbalanced state. I will next discuss how this approach provides evidence for a novel form of rapid compensatory inhibitory plasticity. Experimental evidence for such plasticity comes from optogenetic activation of excitatory neurons in primate visual cortex (area V1) which induces a population-wide dynamic reduction in the strength of neuronal interactions over the timescale of minutes during the awake state, but not during rest. I will shift gears in the final part of the talk, and discuss how community detection algorithms can help uncover the large scale organization of neuronal networks from connectome data.

2022-05-12 / 10:30 ~ 10:55

IBS-KAIST 세미나 - 수리생물학:

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The idea of balance between excitation and inhibition is central in the theory of biological neural networks. I will give a brief introduction to the concept of such balance, and an overview of the mathematical ideas that can be used to study it.

Events for the 취소된 행사 포함