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Found 9 papers, 5 papers with code
A theory of data variability in Neural Network Bayesian inference
Using our formalism on a synthetic task and on MNIST we obtain a homogeneous kernel matrix approximation for the learning curve as well as corrections due to data variability which allow the estimation of the generalization properties and exact results for the bounds of the learning curves in the case of infinitely many training data points.
Unified field theoretical approach to deep and recurrent neuronal networks
Bayesian inference on Gaussian processes has proven to be a viable approach for studying recurrent and deep networks in the limit of infinite layer width, $n\to\infty$.
Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
The interpretation of data from indirect detection experiments searching for dark matter annihilations requires computationally expensive simulations of cosmic-ray propagation.
Autoencoders for unsupervised anomaly detection in high energy physics
As a particle physics benchmark scenario, we study the tagging of top jet images in a background of QCD jet images.
Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2
We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum.
High Energy Physics - Phenomenology High Energy Physics - Experiment
NNLL-fast: predictions for coloured supersymmetric particle production at the LHC with threshold and Coulomb resummation
We present state-of-the art predictions for the production of supersymmetric squarks and gluinos at the Large Hadron Collider (LHC), including soft-gluon resummation up to next-to-next-to-leading logarithmic (NNLL) accuracy, the resummation of Coulomb corrections and the contribution from bound states.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Constraining new physics with collider measurements of Standard Model signatures
A new method providing general consistency constraints for Beyond-the-Standard-Model (BSM) theories, using measurements at particle colliders, is presented.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Squark and gluino production cross sections in pp collisions at $\sqrt{s}$ = 13, 14, 33 and 100 TeV
We present state-of-the-art cross section predictions for the production of supersymmetric squarks and gluinos at the upcoming LHC run with a centre-of-mass energy of $\sqrt{s} = 13$ and $14$ TeV, and at potential future $pp$ colliders operating at $\sqrt{s} = 33$ and $100$ TeV.
High Energy Physics - Phenomenology
Supersymmetry production cross sections in pp collisions at sqrt{s} = 7 TeV
This document emerged from work that started in January 2012 as a joint effort by the ATLAS, CMS and LPCC supersymmetry (SUSY) working groups to compile state-of-the-art cross section predictions for SUSY particle production at the LHC.
High Energy Physics - Phenomenology
