\end{itemize} \footnote{\noindent \tiny{[2] H. Du, \emph{et al.}, ``Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization," \emph{arXiv preprint arXiv:2308.05384}, 2023.}} \end{frame} \begin{frame} \frametitle{AIGC in Mobile Edge ...
Optimization level A2 B2 C2 D2 ∗There is no specific requirement for viscosity (no influence on AE preparation at later stage), so the optimization level is not proposed. The range analysis in Table 4 shows that the influence of several factors based on the Ri value for the viscosity, ...
The second paradigm draws its intuition from the fact that the SLAM problem can be viewed as a sparse graph of constraints, and it applies nonlinear optimization for recovering the map and the robotʼs locations. Finally, we survey the particle filter paradigm, which applies nonparametric ...
``Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization," \emph{arXiv preprint arXiv:2308.05384}, 2023.}} \end{frame} \begin{frame} \frametitle{AIGC in Mobile Edge Computing (MEC)} \begin{figure}[t] \centering \includegraphics[width=2.6in]{...
\end{itemize} \footnote{\noindent \tiny{[2] H. Du, \emph{et al.}, ``Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization," \emph{arXiv preprint arXiv:2308.05384}, 2023.}} \end{frame} \begin{frame} \frametitle{AIGC in Mobile Edge ...
Beamer是基于LaTeX的演示文稿制作工具（LaTeX中用于制作演示文稿的库包），排出的公式非常漂亮，自动对齐，...
当然也可以用Prosper 、 Powerdot 进行 LaTeX 演示。但是Beamer才是最好用。所以在使用 LaTeX进行演示幻灯...
比如我在ETH的Guarantee ML课(ML Theory)上做的presentation，用的就是Beamer Theme：boadilla， 模板链接...
输入类似上面的公式，用Latex更方便。貌似也更漂亮，也更快＋＋＋S=M5×5B1B2＋B3B4＋B5＋B7B6B8B...
从外观上讲，beamer的排版效果就是学术幻灯片的终极追求 简洁，直白，统一