# From CERN

19,166 courses and talks.

- [Scale Invariance and Symmetries in Inflation](https://invisiblenetwork.ai/learn/cern/3001648): Jinn-Ouk Gong · CERN
- [Reflections on the 20th year of Feldman-Cousins: Hypothesis testing of a point null vs a continuous alternative](https://invisiblenetwork.ai/learn/cern/3000418): Robert Cousins Jr · CERN
- [Statistician's summary talk](https://invisiblenetwork.ai/learn/cern/3000421): David van Dyk · CERN
- [The collider experience](https://invisiblenetwork.ai/learn/cern/3000398): Maurizio Pierini · CERN
- [Efficient Neutrino Oscillation Parameter Inference with Gaussian Processes](https://invisiblenetwork.ai/learn/cern/3000399): Bannanje Nitish Nayak · CERN
- [Machine Learning methods for JUNO Experiment](https://invisiblenetwork.ai/learn/cern/3000415): Yu Xu · CERN
- [Simulating Light in Large Volume Detectors Using Metropolis Light Transport](https://invisiblenetwork.ai/learn/cern/3000416): Gabriel Collin · CERN
- [Theoretical aspects of Machine Learning](https://invisiblenetwork.ai/learn/cern/3000414): Chad Shafer · CERN
- [Physicist's summary talk](https://invisiblenetwork.ai/learn/cern/3000420): Kevin McFarland · CERN
- [Introduction to machine learning](https://invisiblenetwork.ai/learn/cern/3004054): Michael Aaron Kagan · CERN
- [The neutrino experiment experience](https://invisiblenetwork.ai/learn/cern/3000413): Saul Alonso Monsalve · CERN
- [A GPU-based framework for multi-variate analysis in particle physics](https://invisiblenetwork.ai/learn/cern/3000417): Xuefeng Ding · CERN
- [A new unified perspective on the problem of limited Monte Carlo for likelihood calculations](https://invisiblenetwork.ai/learn/cern/3000330): Thorsten Glüsenkamp · CERN
- [Regularisation for T2K cross-section analyses](https://invisiblenetwork.ai/learn/cern/3003609): Stephen Dolan · CERN
- [Introduction to Unfolding](https://invisiblenetwork.ai/learn/cern/3000320): Mikael Kuusela · CERN
- [Short-Baseline experiments](https://invisiblenetwork.ai/learn/cern/3000396): Georgia Karagiorgi · CERN
- [Almost-perfect signal detection](https://invisiblenetwork.ai/learn/cern/3000309): Anthony Davison · CERN
- [Look-elsewhere effect in neutrino oscillation searches:](https://invisiblenetwork.ai/learn/cern/3000397): Phillip Litchfield · CERN
- [Reactor Anti-neutrino Data in Global Analyses](https://invisiblenetwork.ai/learn/cern/3000316): Alvaro Hernandez Cabezudo · CERN
- [Supernova neutrino signal detection in the NOvA experiment:](https://invisiblenetwork.ai/learn/cern/3000419): Andrey Sheshukov · CERN
- [The collider experience with unfolding](https://invisiblenetwork.ai/learn/cern/3003602): Stefan Schmitt · CERN
- [Summary of the day / discussions](https://invisiblenetwork.ai/learn/cern/3000332): Tom Junk · CERN
- [Statistical Models with Uncertain Error Parameters](https://invisiblenetwork.ai/learn/cern/3000331): Glen Cowan · CERN
- [Review of Linear Algebra Applications in Some Recent Neutrino Experiments](https://invisiblenetwork.ai/learn/cern/3000395): Xin Qian · CERN
- [Neutrino-less double-beta decay experiments](https://invisiblenetwork.ai/learn/cern/3000288): Matteo Agostini · CERN
- [The neutrino experiment experience with unfolding](https://invisiblenetwork.ai/learn/cern/3000327): Philip Andrew Rodrigues · CERN
- [Uncertainty in the Reactor Neutrino Spectrum and the Mass Hierarchy](https://invisiblenetwork.ai/learn/cern/3000315): Emilio Ciuffoli · CERN
- [Statistical issues on the neutrino Mass Hierarchy determination](https://invisiblenetwork.ai/learn/cern/3000317): Fatma Sawy and Fatma Helal Sawy · CERN
- [Introduction to neutrino physics](https://invisiblenetwork.ai/learn/cern/3000227): Alain Blondel · CERN
- [Fits to large data sets](https://invisiblenetwork.ai/learn/cern/3003488): Stefano Gariazzo · CERN
- [Practical experiences with ATLAS/CMS Higgs combine procedures](https://invisiblenetwork.ai/learn/cern/3000295): Nicholas Wardle · CERN
- [Long-baseline experiments](https://invisiblenetwork.ai/learn/cern/3002928): Alexander Himmel · CERN
- [Reactor experiments](https://invisiblenetwork.ai/learn/cern/3000233): Chao Zhang · CERN
- [Cosmological neutrinos](https://invisiblenetwork.ai/learn/cern/3003478): Tim Ruhe · CERN
- [Introduction to PHYSTAT-nu](https://invisiblenetwork.ai/learn/cern/3000297): Olaf Behnke · CERN
- [Model building, analysing and treatment of systematic uncertainties in modern HEP experiments](https://invisiblenetwork.ai/learn/cern/3000296): Wouter Verkerke · CERN
- [The neutrino experiment experience](https://invisiblenetwork.ai/learn/cern/3000283): Costas Andreopoulos and Constantinos Andreopoulos · CERN
- [Atmospheric neutrinos](https://invisiblenetwork.ai/learn/cern/3000238): Christophe Bronner · CERN
- [Overview of stastistics for neutrino physics](https://invisiblenetwork.ai/learn/cern/3000231): Yoshi Uchida · CERN
- [Direct neutrino mass measurement](https://invisiblenetwork.ai/learn/cern/3000286): Thierry Lasserre · CERN
- [Summary of the day / discussions](https://invisiblenetwork.ai/learn/cern/3000287): Tom Junk · CERN
- [Bayesian techniques](https://invisiblenetwork.ai/learn/cern/3000194): James Berger · CERN
- [Introductory Statistics Course - Part II](https://invisiblenetwork.ai/learn/cern/3001836): Glen Cowan · CERN
- [Introductory Statistics Course - Part I](https://invisiblenetwork.ai/learn/cern/3000412): Louis Lyons · CERN
- [The SPECULOOS project: hunting for habitable exoplanets around the nearest very-low-mass stars](https://invisiblenetwork.ai/learn/cern/3000203): Michael Gillon · CERN
- [A practical introduction to quantum computing: from qubits to quantum machine learning and beyond](https://invisiblenetwork.ai/learn/cern/3010510): Elias Fernandez-Combarro Alvarez · CERN
- [ALICE unveils the strong interaction among stable and unstable hadrons](https://invisiblenetwork.ai/learn/cern/3016943): Laura Fabbietti · CERN
- [A practical introduction to quantum computing: from qubits to quantum machine learning and beyond](https://invisiblenetwork.ai/learn/cern/3016575): Elias Fernandez-Combarro Alvarez · CERN

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