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Log canonical thresholds of complete intersection log del Pezzo surfaces
https://www.math.snu.ac.kr/board/index.php?mid=seminars&document_srl=458843
2014.03.24
15:26:42
1377
Date
Mar 26, 2014
Speaker
김인균
Dept.
서울대
Room
27-317
Time
16:00-17:00
TBA
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Date
Time
Subject
Speaker
Room
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14:00-16:00
Symplectic field theory and codimension-2 stable Hamiltonian submanifolds
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A survey on generalized Schr"{o}dinger operators along curves
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Sep 25, 2023
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A sharp Mizohata-Takeuchi-type estimate for the cone
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A Data-Scientific Approach to Representation Theory: Case Study of Kronecker Coefficients
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Oct 24, 2023
14:00-15:00
A Data-Scientific Approach to Representation Theory: Case Study of Kronecker Coefficients
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Jan 24, 2024
10:30-12:00
Transference theorems, parametric geometry of numbers, and spectra I
Yann Bugeaud
27-220
Jan 24, 2024
14:00-15:30
Transference theorems, parametric geometry of numbers, and spectra II
Yann Bugeaud
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May 07, 2024
15:30-18:00
Surface group representations - it's not all about Teichmüller!
Arnaud Maret
27-220
May 09, 2024
15:30-18:00
Surface group representations - it's not all about Teichmüller!
Arnaud Maret
27-220
May 14, 2024
14:00-18:00
Computing Fukaya categories: Techniques and Examples
이상진
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May 28, 2024
11:00-13:00
Quantum Monte Carlo algorithm for solving Black-Scholes PDEs for high-dimensional option pricing in finance and its complexity analysis
Ariel Neufeld
27-220
May 28, 2024
14:00-16:00
Sensitivity analysis of robust optimization problems and nonlinear Kolmogorov PDEs
Kyunghyun Park
27-220
Jun 12, 2024
16:00-17:00
Numerical Methods for Partial Differential Equations on Surfaces
Shingyu Leung
27-220
Aug 06, 2024
15:00-18:00
Mathematical Theory of Neural Network Approximation and its Application to Scientific Machine Learning
고승찬
27-220
Aug 02, 2024
15:30-18:00
Theory and Application of Scientific Machine Learning
홍영준
27-220
Aug 21, 2024
16:00-17:00
Score-based Diffusion Models in Hilbert Spaces
임성빈
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Machine Learning Meets Scientific Computing
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현윤석
27-220
Aug 23, 2024
16:00-17:00
Recent Progress on Improving Regret Bounds for Reinforcement Learning in Markov Decision Processes
이다빈
27-220
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