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Extra Form
강연자 김민규
소속 성균관대학교
date 2023-05-16

  1. Entropy of symplectic automorphisms

    ※ 강연 뒷부분이 녹화되지 않았습니다. A symplectic manifold is a space with a global structure on which Hamiltonian equations are defined. A classical result by Darboux says that every symplectic manifold locally looks standard, so it has be...
    Category수학강연회 소속서강대학교 강연자김준태
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  2. Equations defining algebraic curves and their tangent and secant varieties

    It is a fundamental problem in algebraic geometry to study equations defining algebraic curves. In 1984, Mark Green formulated a famous conjecture on equations defining canonical curves and their syzygies. In early 2000's, Claire Voisin...
    Category수학강연회 소속KAIST 강연자박진형
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  3. 2023-1 Number Theory (김민규)

    CategoryBK21 FOUR Rookies Pitch 소속성균관대학교 강연자김민규
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  4. 2023-1 Number Theory (김대준)

    CategoryBK21 FOUR Rookies Pitch 소속KIAS 강연자김대준
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  5. 2023-1 Symplectic Topology (노경민)

    CategoryBK21 FOUR Rookies Pitch 소속서울대학교 강연자노경민
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  6. 2023-1 Symplectic Topology (이상진)

    CategoryBK21 FOUR Rookies Pitch 소속IBS-CGP 강연자이상진
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  7. Descent in derived algebraic geometry

    Among many different ways to introduce derived algebraic geometry is an interplay between ordinary algebraic geometry and homotopy theory. The infinity-category theory, as a manifestation of homotopy theory, supplies better descent results ...
    Category수학강연회 소속서강대학교 강연자조창연
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  8. 2023-1 Algebraic Combinatorics (오재성)

    CategoryBK21 FOUR Rookies Pitch 소속KIAS 강연자오재성
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  9. 2023-1 Algebraic Combinatorics (김동현)

    CategoryBK21 FOUR Rookies Pitch 소속BK21 강연자김동현
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  10. 2023-1 Dynamics and Number Theory (이슬비)

    CategoryBK21 FOUR Rookies Pitch 소속IBS-CGP 강연자이슬비
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  11. 2023-1 Geometric Toplology (정홍택)

    CategoryBK21 FOUR Rookies Pitch 소속BK21 강연자정홍택
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  12. Toward bridging a connection between machine learning and applied mathematics

    This lecture explores the topics and areas that have guided my research in computational mathematics and deep learning in recent years. Numerical methods in computational science are essential for comprehending real-world phenomena, and dee...
    Category수학강연회 소속성균관대학교 강연자홍영준
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  13. Vlasov-Maxwell equations and the Dynamics of Plasmas

    In this colloquium talk, we study the Vlasov-Maxwell equations, a collisionless model in the field of kinetic theory. The model is a fundamental model for the dynamics of plasmas and was introduced in 1938 by Vlasov. Due to the hyperbolic n...
    Category수학강연회 소속포항공과대학교 강연자장진우
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  14. 2023-1 Stochastic PDE(이재윤)

    CategoryBK21 FOUR Rookies Pitch 소속KIAS 강연자이재윤
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  15. 2023-1 Probabilistic Potential Theroy (강재훈)

    CategoryBK21 FOUR Rookies Pitch 소속BK21 강연자강재훈
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  16. Study stochastic biochemical systems via their underlying network structures

    When a biological system is modeled using a mathematical process, the following step is normally to estimate the system parameters. Despite the numerous computational and statistical techniques, estimating parameters for complex systems can...
    Category수학강연회 소속포항공과대학교 강연자김진수
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  17. <학부생을 위한 ɛ 강연> 복잡한 생명현상을 위한 21세기 현미경, 수학!

    지난 50년간 진행된 분자생물학의 혁명으로 인해 생명 시스템이 수많은 분자들의 상호작용으로 구성되어 있음을 알게 되었습니다. 이러한 복잡한 시스템을 이해하기 위해서는 현미경과 같이 생명현상을 관찰하는 도구와 함께 수학은 생명과학 분야에서 필수적...
    Category수학강연회 소속카이스트 강연자김재경
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  18. Birational Geometry of varieties with effective anti-canonical divisors

    Fano varieties are fundamental objects in algebraic geometry. These can be considered as the unique output of the -K -minimal model program on the varieties with effective anticanonical divisors. Thus the initial models should encode the in...
    Category수학강연회 소속연세대학교 강연자최성락
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  19. Contact instantons and entanglement of Legendrian links

    We introduce a conformally invariant nonlinear sigma model on the bulk of contact manifolds with boundary condition on the Legendrian links in any odd dimension. We call any finite energy solution a contact instanton. We also explain its Ha...
    Category수학강연회 소속IBS-CGP /POSTECH 강연자오용근
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  20. <학부생을 위한 ɛ 강연> Self-Supervised Learning in Computer Vision

    In recent years, artificial intelligence has made remarkable progress in developing algorithms that can learn from vast amounts of carefully labeled data. This paradigm of supervised learning has made great success in training specialist mo...
    Category수학강연회 소속인하대학교 강연자현윤석
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