• 🧊 Pretty things here
• We model the world mathematically via different philosophical viewpoints
• 📍 Kaiming He, GDM
• Lukas Beyer’s blog, ex-GDM
• 📍 Yoshua Bengio, GAN 2014, DL
• 📍 Pedro Domingos
• Bernhard Schölkopf, SSL 2006
• Choice Overload – How Having Too Many Options Can Shut Down Your Brain
• Richard Feynman, Feynman: How to think 1 of 2 fun to Imagine 11
• How Multitasking Drains Your Brain
• Rust everything - blogs - Zurich
• time zone - (UTC+01:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna

Model Structures

• Model Structures - 25

• 📍 Introduction to Flow Matching and Diffusion Models - MIT 25/26
• Flow-matching
• 2025 - Advances in Computer Vision
• 2026 - Implement your AI Model Experiments
• 2026 - Ice Maze RL Basis
• ml-switcheroo
• 2025 - Mastering Learning Rate Schedulers in Deep Learning
• 2026 - Understanding Rust’s Memory Model

2025 - 2026

• Paul Graham, his website

• Maxx Randolph

• Prof. Davide Scaramuzza - UZH MS AI - Program Director
• (Prof. Andreas Geiger)

• (Kostas Alexis), Unified Autonomy Stack

• (Prof. Sergey Tomin)
• (Dragomir Anguelov, Amirabbas Asadi)
• Max Welling
• DailyPapers
• Peyman Milanfar
• (Jurgen Schmidhuber)
• (Lawrence Jackel)

• (NAVER LABS Europe)

• 6G Communication
• Daily News Briefing, Reuters and CNBC
• Nicholas Carlini’s blog

Home / Hospital Robots

• Mehul Nariyawala
• 2026 - SLAM Handbook, chapter 17, 18
• 2016 - Dynamic SLAM

Readings

• [⛱️ Daily Finance Markets, Luca Lacharlotte]
• 2025 - Kosmos - AI Co-Scientist
• 2025 - Blackwell NVFP4 Kernel Hackathon
• [Armadillo]
• PRS

♨️ Zurich

• Pingmyping
• Jan 2026

Relevant Coursework

Deep Learning (Python, 25)

(*Large-Scale AI Engineering, 25/26)

Systems on Chips (CUDA, HPC, 26)

3D Shape Modeling and Geometry Processing (C++, 26)

Computational Models of Motion (C++ / Rust, Deep RL, Robotics, 26)

Computer Vision for Automated Driving / Future Mobility (PRS, 26)

4D Computer Vision (C++, (Dynamic) SLAM, 26)

Visual Computing

(Physically Based Simulation)

Doctoral Seminar in Visual Computing

(Vision Algorithms for Mobile Robotics (L+E))

Mixed Reality (C++, Blender, SUMO, Unreal, 25)

Graph Theory

Information Geometry

Pure Math

Post-Training Techniques

❄️ Efficient Adaptation

• Adapter (reduce training parameters)
• Distillation (transfer knowledge)
• Pruning (delete redundant structure)

❄️ Representation Learning

• Self-Supervised Learning - SSL

❄️ Model Manipulation

• Model Editing
• Model Merging

❄️ Generalization

• Few-shot Learning
• Zero-shot Learning

Check List

• Reading, Oxygen, Fruits No sugar, Protein
  • Gym, Jogging, Tennis
  • Chatting
  • 🌊 Water
• Take a Walk 🗣️