Researchers developed SymbolFit, a symbolic regression framework that automates parametric function discovery and uncertainty ...
Researchers introduced Eulerian Parameter Inference, a change-of-variables method that calibrates simulation models to highly ...
High-resolution x-ray spectroscopy of classical T Tauri stars (CTTs) reveals a soft x-ray excess, low electron density, and accretion rate inferred from helium-like oxygen (O VII). Accretion shock ...
Weight-Space Programming is a paradigm shift for AI engineering and the key discovery that leads to RSI and potentially even AGI.
“I think the cost-sharing elements are by far probably the most important part of this bill,” Rep. Josh Harder, D-Calif., told Utility Dive. “My hope is that can unlock a lot more collaboration as ...
DS223 assignment: extend the Bayesian carousel frontend with Thompson sampling for continuous Gaussian rewards with a known noise standard deviation. main.py navigation (4 pages) bandit_utils.py ...
The stability of the Atlantic Meridional Overturning Circulation (AMOC) is a major uncertainty in projections of future ...
This project fits a two-regime Markov switching model to daily S&P 500 log returns. The model assumes that the market alternates between two hidden states, each with its own mean return and volatility ...
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