Nico Ritschel's Ph.D. Defense Summary
Nico Ritschel‘s research focuses on refining block-based programming by integrating elements from visual programming to make it more accessible and effective for end-users, especially in the robotics
Jifeng Wu's Personal Website
Pre-MICCAI Workshop@UBC Observations and Gained Insights
From the Pre-MICCAI Workshop@UBC website: The Pre-MICCAI Workshop is a dynamic and innovative platform that unites machine learning and medical computer vision. As a prelude to the prestigious MICCAI
Understanding the Name, Structure, and Loss Function of the Variational Autoencoder
Despite the intuitive appeal of variational autoencoders (VAEs), their underlying principles can be elusive. After extensive research across papers and online resources, I will summarize the core insi
The Cornell, Maryland, Max Planck Pre-doctoral Research School 2023 Observations and Gained Insights
Panel Session 2: “Research in industry vs. academia”Problem Focus & Recognition Industry tends to focus on concrete problems. In academia, broader issues are often addressed. Authorship and credi
From the Fourier Series to the Fourier Transform to the Discrete Fourier Transform: Demystifying the Formulas
In realms as broad as electrical engineering, acoustics, optics, signal processing, quantum mechanics, and econometrics, the Fourier Series, Fourier Transform, and Discrete Fourier Transform play a pi
On Convolutional Neural Networks and Photographic Lenses
Convolutional neural networks are camera lenses to a computer. The analogy does not stop at the point that both compress visual information: The evolution of convolutional neural network architectu