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Notes on scientific-ai
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Reinforcing Agentic Creativity in Scientific Ideation with Night Science
The preprint introduces AI Night-Scientist, an agentic framework that uses reinforcement learning to shape when and how a model departs from predictable reasoning. It models creativity along action, process, and…
SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback
The preprint describes a framework for synthesizing scientific coding problems by sampling operator chains from graphs built from scientific library interfaces and operation modes. An LLM generates problem statements…
PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers
PosteriorBench evaluates whether generative inverse solvers recover full solution distributions rather than only one plausible reconstruction. It covers four physics-based inverse problems and uses reference posteriors…
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