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강연자 홍영준
소속 성균관대학교
date 2023-04-13

 

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 deep neural networks have achieved state-of-the-art results in a range of fields. The rapid expansion and outstanding success of deep learning and scientific computing have led to their applications across multiple disciplines. In this lecture, I will focus on connecting machine learning with applied mathematics, specifically discussing topics such as adversarial examples, generative models, and scientific machine learning.

 

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List of Articles
카테고리 제목 소속 강연자
수학강연회 Class field theory for 3-dimensional foliated dynamical systems file Kyushu University Morishita Masanori
Classification of simple amenable operator algebras file Lakehead University Grazia Viola
수학강연회 <학부생을 위한 ɛ 강연> A mathematical approach to xEV battery system file LG화학 안형준
수학강연회 Space.Time.Noise file Meijo University Takeyuki Hida
수학강연회 Green’s function for initial-boundary value problem file National Univ. of Singapore Shih-Hsien Yu
수학강연회 Heavy-tailed large deviations and deep learning's generalization mystery file Northwestern University 이창한
수학강연회 Solver friendly finite element methods file Oklahoma State Univ. 구자언
수학강연회 Deformation spaces of Kleinian groups and beyond file Osaka University Kenichi Ohshika
수학강연회 On some nonlinear elliptic problems file Paul Sabatier University, Toulouse Yuri Egorov
수학강연회 Partial differential equations with applications to biology file POSTECH 황형주
수학강연회 Limit computations in algebraic geometry and their complexity file POSTECH 현동훈
수학강연회 Variational Methods without Nondegeneracy file POSTECH 변재형
수학강연회 Compressible viscous Navier-Stokes flows: Corner singularity, regularity file POSTECH 권재룡
수학강연회 Mixed type PDEs and compressible flow file POSTECH 배명진
특별강연 허준이 교수 호암상 수상 기념 강연 (Lorentzian Polynomials) file Professor, Stanford University 허준이 교수
BK21 FOUR Rookies Pitch 2021-1 Rookies Pitch: Representation Theory (최승일) file QSMS 최승일
BK21 FOUR Rookies Pitch 2021-2 Rookies Pitch: Low Demensional Topology (이동수) file QSMS 이동수
BK21 FOUR Rookies Pitch 2021-2 Rookies Pitch: Representation Theory(김영훈) file QSMS 김영훈
BK21 FOUR Rookies Pitch 2022-1 Rookies Pitch: Number Theory (이석형) file QSMS 이석형
BK21 FOUR Rookies Pitch 2022-1 Rookies Pitch: Integrable Systems (Sylvain Carpentier) file QSMS Sylvain Carpentier
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