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Found 7 papers, 4 papers with code
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
REDVID is intended as a simulation-in-the-loop, to both generate synthetic data efficiently and to simplify the challenge of ML model design.
Towards a Benchmark for Scientific Understanding in Humans and Machines
We extend this notion by considering a set of questions that can gauge different levels of scientific understanding, covering information retrieval, the capability to arrange information to produce an explanation, and the ability to infer how things would be different under different circumstances.
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics
The massive use of artificial neural networks (ANNs), increasingly popular in many areas of scientific computing, rapidly increases the energy consumption of modern high-performance computing systems.
A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications
Optimisation problems are ubiquitous in particle and astrophysics, and involve locating the optimum of a complicated function of many parameters that may be computationally expensive to evaluate.
Bayesian Optimisation
High Energy Physics - Phenomenology
Computational Physics
Constraining the Parameters of High-Dimensional Models with Active Learning
Constraining the parameters of physical models with $>5-10$ parameters is a widespread problem in fields like particle physics and astronomy.
Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer
We present a study for the generation of events from a physical process with deep generative models.
High Energy Physics - Phenomenology High Energy Physics - Experiment Data Analysis, Statistics and Probability
Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches
For the first time, we also derive a conservative set of uncertainties on the shower and hadronisation model parameters.
High Energy Physics - Phenomenology Cosmology and Nongalactic Astrophysics
