Pseudo Statistics
About
Posts
Etc
2023.08.28 블로그
Posts
Etc
2023.08.28 블로그
2023.08.28 블로그
Author
고경수
Published
August 28, 2023
About
Posts
Algorithm
[Algorithm] 3. Analyze the efficiency of algorithms
[Algorithm] 4. Essential grammar for coding tests
[Algorithm] 5. Array
[Algorithm] 6. Stack
[Algorithm] Recursive
Contrastive Learning
[Paper Review] Contrastive Learning based Semantic Communication for Wireless Image Transmission (VTC2023)
Etc
2023.08.28 블로그
논문 읽다가 모르겠거나 복습할 개념 정리
성능 평가 지표(회귀모델, 분류모델)
VSCode 주피터 커널 등록 / CUDA에 맞는 torch 설치
2024 GIST-NVAITC Korea 강연 내용
[Paper Review] Machine learning driven smart electric power system: Current trends and new perspectives(2020)
[Paper Review] TS2Vec: Towards universal representation of time series(AAAI 2022)
Federated Learning
[Paper Review] Federated learning: Challenges, methods, and future directions (2020)
Generative Model
[Paper Review] Denoising diffusion probabilistic models(NIPS 2020)
[Paper Review] Auto-Encoding Variational Bayes(ICLR 2014)
Image Compression
[Paper Review] End-to-End Optimized Image Compression(ICLR 2017)
Information Theory
Information Theory
Linear Algebra
선형대수학
[통계전산] 선형대수학(나중에)
Multi Task Learning
[Paper Review] Taskonomy: Disentangling Task Transfer Learning(2018)
Network
Network / D-N-A 기반 X+AI 서비스 실증
Optimal Design
[Optimal Design] 1. Introduction to Design Optimization
[Optimal Design] 10. Numerical Methods for Unconstrained Optimum Design
[Optimal Design] 11. More on Numerical Methods for Unconstrained Optimum Design
[Optimal Design] 12. Numerical method for constrained optimum design
[Optimal Design] 2. Optimum Design Problem Formulation
[Optimal Design] 3. Graphical Solution Method
[Optimal Design] 4. Optimum Design Concepts: Optimality Conditions
PINN
[Paper Review] Dual Cone Gradient Descent for Training Physics-Informed Neural Networks(NeurIPS 2024)
[Paper Review] Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis (2024)
Physics-informed neural networks (PINN)
Python
[Python] 자료형,Numpy,Pandas
[데이터시각화] 1. Matplotlib
[데이터시각화] 4. Plotly, 판다스 백엔드
[데이터시각화] 2. Seaborn
[데이터시각화] 3. Pandas -
lambda df:
의 활용,
MultiIndex
의 이해,
tidydata
의 이해
[데이터시각화] 0. 훌륭한 시각화
Signal Processing
Signal and System, DSP
[Paper Review] Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains(2020)
Statistics
[확률론] 1. Probability and counting
Data Science
통계 101 X 데이터분석
[Detection and Estimation] Lec 7~14 summary
[Detection and Estimation] Estimation
[Detection and Estimation] Lec 1~6 summary
Maximum Likelihood Estimation(MLE)
[Random Process] Stochastic Process
[Random Process] Probability, Random Variable
[통계전산] 통계
On this page
블로그 제작 (Quarto)
RSS 피드
블로그 검색엔진 등록
Jupyter Notebook
On this page
블로그 제작 (Quarto)
RSS 피드
블로그 검색엔진 등록
Jupyter Notebook
블로그 제작 (Quarto)
Quarto
참고영상
설정가능 icon
RSS 피드
quarto feed
feed parser
날짜 포맷
블로그 검색엔진 등록
검색엔진 등록
Jupyter Notebook
노트북의 첫 번째 셀은 문서제목, 작성자 및 지정해야하는 기타 옵션이 포함된
RAW Cell
이어야 한다.
https://quarto.org/docs/tools/jupyter-lab.html