Constructing And Steering Pyhf Models

Background of Constructing And Steering Pyhf Models

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The cabinetry library provides interfaces and functionality for both the creation and use of statistical This contribution signifies a shift in ATLAS statistical data analysis by implementing traditional fit strategies utilizing the The cabinetry library provides a Python-based solution for High Energy Physics analyses are performed with statistical computations to determine the compatibility of the reported results ... This is a special joint event! We are collaborating with INCOSE Michigan Chapter, which is a professional association focused on ... In this multi-part coding challenge, I create a system where autonomous

Papers & Resources * [Persona Vectors: Monitoring and Controlling Character Traits in Language ... This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company ... What if a neural network does not store concepts as isolated facts, but as geometry? This video explains Goodfire's “world inside ...

Core Information

Celebrity pyhf Overview and Basic Tutorial - Giordon Stark Wealth
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Developments

Celebrity Modernizing the ATLAS Statistical Analysis: Implementing HistFitter Strategies with pyhf - Vangelis Profile
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PyHEP 2021: Binned template fits with cabinetry
pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd |Scipy 2020| Feickert
Steering vectors: tailor LLMs without training. Part II: Code (Interpretability Series)
Modeling Complex Systems in Python with Gaphor
Coding Challenge #69: Evolutionary Steering Behaviors - Part 1
Hacking an LLM's Personality with Representation Engineering
Steering LLM Behavior Without Fine-Tuning
Python Symbolic Regression (PySR) [Physics Informed Machine Learning]
Neural Geometry and Manifold Steering: From Goodfire’s Paper to RWKV

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Last Updated: June 12, 2026

Final Thoughts

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