Some updates on my "Model Discovery Agent" paper. 1) Significant new version posted to https://t.co/CUfwMhQdpP; 2) video of a talk I gave at U Toronto posted to https://t.co/y2izltTO1o ; 3) I now have a cute picture of the (polyglot) MDA workflow :) https://t.co/5VeZY78waW
AI Weekly's analysis
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- Kevin Murphy's Model Discovery Agent uses an LLM to propose candidate causal structures, then Bayesian machinery to test them from few interventions.
- The pipeline combines sequential Monte Carlo, simulation-based inference, and value-of-information experiment design in an M-open hypothesis setting.
- MDA is evaluated on physics, chemistry, and a new single-neuron electrophysiology benchmark introduced alongside the paper.
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