Hyperparameter Space
- When not to use deep learning
- Software is eating AI
- A single-cell journey from mechanistic to descriptive modeling and back again
- Causal models make a comeback
- Sense and sensitivity (and specificty and utility)
- How do we measure our molecular understanding in biology? From ten commandments to ten questions
- How convincing your experimental approach is according to Bayes
- The amazing world of biocatalytic retrosynthesis
- An unorthodox path for implementing a probabilistic programming language
- This is (not) a machine
- Implementing a geometric deep learning module from scratch
- When will science become version controlled?
- The four paths to molecular machine learning
- What if we just learn a language model for all of life?
- A survey of tokenization in different data domains
- Some thoughts on how to get to an AI scientist