2024
36 posts
11-11
[CS5340] Graph-Cut & Alpha-Expension
11-06
[CS5446] Generative AI in Decision Making
11-04
[CS5340] Variation Autoencoder & Diffusion Model
10-30
[CS5446] Human-Guided AI Decision Making
10-29
[CS5242] Open-Sora
10-28
[CS5340] Variational Inference
10-23
[CS5446] Game Theory
10-22
[CS5242] Stable Diffusion
10-21
[CS5340] Monte Carlo Sampling
10-16
[CS5446] Partial Observable Markov Decision Process
10-15
[CS5242] GPT
10-14
[CS5340] Hidden Markov Models
10-08
[CS5242] BERT
10-07
[CS5340] Mixture Models & EM Algorithm
10-02
[CS5446] Reinforcement Learning Model and Abstraction
10-01
[CS5242] Attention and Transformers
10-01
[CS5446] Midterm Mindmap
09-24
2023 ASML 菁英獎學金申請心得
09-18
[CS5446] Reinforcement Learning Generalization
09-17
[CS5242] Deep CNN Architectures
09-16
[CS5340] Parameter Learning with Complete Data
09-11
[CS5446] Reinforcement Learning Foundation
09-10
[CS5242] Regularization
09-09
[CS5340] Factor Graph & Junction Tree Algorithm
09-04
[CS5446] Markov Decision Process
09-03
[CS5242] Convolution Neural Networks (CNN)
09-02
[CS5340] Variable Elimination & Belief Propogation (Sum-Product Algorithm)
08-28
[CS5446] Rational Decision Making
08-27
[CS5242] Training Deep Networks
08-26
[CS5340] Markov Random Field (Undirected Graphical Model, UGM)
08-21
[CS5446] Real World Planning & Acting
08-20
[CS5242] Shallow Neural Networks
08-19
[CS5340] Bayesian Network (Directed Graphical Model, DGM)
08-14
[CS5446] Classical AI Planning
08-13
[CS5242] Linear Regression
08-12
[CS5340] Introduction to Probabilistic Reasonings