- Agentic Soft Logical Circuits: from ReAct Chains to Structured Variational Inference
- From hard to soft operators: between machine learning and statistical physics
- Random rooted trees, continuation free energy, and the Diligent Learner
- MellowMax, Doob's h-transform, and the intensive geometry of tool-use agents
- Recursive decomposition with a continuation policy
- Short-prefix soft values: a null result
- Soft values, symmetry breaking, and random rooted trees
- Category theory and PLP: keeping the theory in order
- Inference-Time Steering as a Discrete Schrödinger Bridge
- PLP is inference-time approximation of free energy
- Test-time inference, language models and energy based models
- Scaffolding is all you need
- Probabilistic Language Programming, turning craft into solid science
- The link between machine learning and statistical physics
- Why probabilistic programming matters