mieskolainen
Schmidt AI Fellow @ Imperial AI / High Energy Physics
Imperial College LondonI-X Centre for AI and Blackett Laboratory
Pinned Repositories
covidgen
SARS-CoV-2 (COVID-19) Infection Fatality Rate [medRxiv:2020.11.19.20235036]
DCT-2D-filter
Sliding 2D-DCT matrix (image) filter (TUT course project)
DeepEfficiency
DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC [arXiv:1809.06101]
graniitti
Monte Carlo Event Generator for High Energy Diffraction [arXiv:1910.06300] [arXiv:2304.06010]
hypertrack
HyperTrack: Neural Combinatorics for High Energy Physics [arXiv:2309.14113]
icenet
D<ee>p Learning [dev library]
IDEC
Inverse Decomposition of Energy Consumption (NILM)
libtorch-easy
A standalone minimal example of how to use libtorch (PyTorch C++ API)
RLS-Golomb-Rice
RLS-Golomb-Rice lossless codec (TUT course project)
Superstatistics
Combinatorial Superstatistics for Soft QCD, Möbius Inversion [arXiv:1910.06279]
mieskolainen's Repositories
mieskolainen/DCT-2D-filter
Sliding 2D-DCT matrix (image) filter (TUT course project)
mieskolainen/graniitti
Monte Carlo Event Generator for High Energy Diffraction [arXiv:1910.06300] [arXiv:2304.06010]
mieskolainen/icenet
D<ee>p Learning [dev library]
mieskolainen/libtorch-easy
A standalone minimal example of how to use libtorch (PyTorch C++ API)
mieskolainen/hypertrack
HyperTrack: Neural Combinatorics for High Energy Physics [arXiv:2309.14113]
mieskolainen/IDEC
Inverse Decomposition of Energy Consumption (NILM)
mieskolainen/RLS-Golomb-Rice
RLS-Golomb-Rice lossless codec (TUT course project)
mieskolainen/ROCpack
Neyman-Pearson lemma, likelihood ratio, ROC, efficiency, purity, Bayes error
mieskolainen/covidgen
SARS-CoV-2 (COVID-19) Infection Fatality Rate [medRxiv:2020.11.19.20235036]
mieskolainen/DeepEfficiency
DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC [arXiv:1809.06101]
mieskolainen/gamma2gamma
yy->yy (light by light) scattering amplitudes
mieskolainen/KISU
On the Inversion of High Energy Proton, K-Fold Inverse of Stochastic Autoconvolution [arXiv:1905.12585]
mieskolainen/nanotron
Custom nanoAOD mechanics
mieskolainen/Superstatistics
Combinatorial Superstatistics for Soft QCD, Möbius Inversion [arXiv:1910.06279]
mieskolainen/actions-stash
Actions Stash
mieskolainen/CG-helicity
Jacob-Wick helicity amplitudes, angular distributions and SU(2) decomposition functions
mieskolainen/Diffractive-Combinatorics
High Energy Diffraction Analysis at the LHC via Combinatorial Algebra, CERN-THESIS-2020-152 [arXiv:1910.06279]
mieskolainen/Diffractive-Combinatorics-GRID
Grid processing code (ALICE) [CERN-THESIS-2020-152]
mieskolainen/fastgen
Fast/toy Monte Carlo generator (use GRANIITTI for proper simulations)
mieskolainen/gluefits
Complex Resonance Spectrum Fits for Glueball Searches etc.
mieskolainen/HEP-statistics
High Energy Physics Statistics Exercises (Uni Helsinki course project)
mieskolainen/HMM
Hidden Markov Model algorithms
mieskolainen/innate
mieskolainen/L1T
L1T
mieskolainen/LHC-BLM
LHC Beam Loss Monitor (BLM) reader
mieskolainen/megasim
Complete Pythia to HepMC to Delphes steering chain
mieskolainen/mieskolainen.github.io
mieskolainen/n-body-gravity
N-body gravity simulation (ETH course project)
mieskolainen/NeuroJacobian
NeuroJacobian - automatic learning of Jacobian mappings
mieskolainen/PolyPack
A symbolic package for generating physics polynomials