11Scientific Computing
Higgs Uncertainty Inference
Estimate the Higgs signal strength from LHC pseudo-experiments with calibrated confidence intervals that survive hidden systematic shifts.
34 tasks across five categories. The original V1 task set lives at /v1.
Estimate the Higgs signal strength from LHC pseudo-experiments with calibrated confidence intervals that survive hidden systematic shifts.
Train one interatomic potential that predicts DFT energies and forces for periodic structures, scored on hidden out-of-distribution compositions.
Train a deterministic global weather model that forecasts nine atmospheric channels out to ten days from a single gridded initial state.
Build a neural decoder that predicts which word a listener heard from raw MEG brain recordings.
Train a model that proposes molecular structures de novo from tandem mass spectra, scored on hidden spectra with unseen scaffolds.
Reimplement Quantum ESPRESSO's plane-wave DFT engine (the pw.x SCF core) from scratch in Rust, numerically faithful to the real thing.