Knowledge Map
- Kaiming He, GDM
-
📍 Jyrki Alakuijala, Researcher Zurich
- 📍 Lukas Beyer’s blog, TBD, ex-Google Brain
- Neil Houlsby, Zurich, ex-Google Brain
- [], UIUC
- Jiahui Yu, UIUC, TBD
- Jeff Dean, Artificial Intelligence
- David Silver, ex-GDM
- Yoshua Bengio, GAN 2014, DL 2015
- Jürgen Schmidhuber, GAN, LSTM, Deep learning in neural networks: An overview 2015, Swiss AI Lab
- Bradly C. Stadie, Can ChatGPT Control a Robot? 2026
- 2026 - sakana.ai - The AI Scientist
- Pedro Domingos
- Brown - GalilAI Group
- 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
- Michal Pitr
- time zone - (UTC+01:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna
Relevant Coursework
Deep Learning, 25
(*Large-Scale AI Engineering, GH200, 25/26)
Systems on Chips, NPU, CUDA, HPC, GAP9, Deeploy, GPGPU, 26
VLSI 2: From Netlist to Complete System on Chip
Introduction to Machine Learning, LLM, 26
Probabilistic Artificial Intelligence, 26
Shape Modeling and Geometry Processing, C++, 26
(Machine Learning for Genomics, Computational Cancer Genomics, 26)
(Vision Algorithms for Mobile Robotics (L+E))
Computational Models of Motion, C++ / Rust, Deep RL, Robotics, 26
Mixed Reality, C++, Blender, SUMO, Unreal / Unity, 25
Visual Computing
(Physically Based Simulation)
Graph Theory, Group Theory, Number Theory
Information Geometry
Model Structures
- Model Structures - 25
- 📍 Introduction to Flow Matching and Diffusion Models - MIT 25/26
- Flow-matching
- Imitation Learning - 2018 ICML tutorial
- 📍 Caltech - Advanced Topics in Machine Learning, Yisong Yue
- 2025 - Advances in Computer Vision
- 2026 - Implement your AI Model Experiments
- 2026 - Ice Maze RL Basis
- 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)
- (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
Hospital Robots
- Mehul Nariyawala
- 2026 - SLAM Handbook, chapter 17, 18
- 2016 - Dynamic SLAM
-
2026 - Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective
- Pieter Abbeel
- Sergey Levine
- Marco Hutter
Readings
- [⛱️ Daily Finance Markets, Luca Lacharlotte]
- Levels.fyi
- 2025 - Kosmos - AI Co-Scientist
- 2025 - Blackwell NVFP4 Kernel Hackathon
- 2018 - Decoupled Networks
♨️ Zurich
Post-Training Techniques ❄️
- Parameter-Efficient Adaptation
- Adapter
- LoRA / QLoRA
- Prefix-tuning
- Prompt-tuning
- BitFit
- Model Compression and Deployment
- Knowledge Distillation
- Quantization
- Pruning
- Low-rank factorization
- Sparse inference
- Alignment and Preference Optimization
- Supervised Fine-Tuning, SFT
- Instruction Tuning
- RLHF / RLAIF
- DPO / IPO / KTO
- Constitutional AI-style alignment
- Model Manipulation
- Model Editing
- Model Merging
- Task Arithmetic
- Adapter Fusion
- Weight Averaging
- Continual / Domain Adaptation
- Continual Learning
- Domain Adaptation
- Test-Time Adaptation
- Online Adaptation
- Data-Efficient Learning, related but not always post-training
- Semi-Supervised Fine-Tuning
- Self-Training
- Pseudo-labeling
- Few-shot adaptation
Evaluation / Capability Terms ❄️
- Zero-shot Learning
- Few-shot Learning
- In-context Learning
- Out-of-distribution Generalization
Check List
- Reading, Oxygen, Fruits No sugar, Protein
- Gym, Jogging, Tennis
- Chatting
- 🌊 Water
- Take a Walk 🗣️
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