no code implementations • 30 Aug 2023 • Uraz Odyurt, Stephen Nicholas Swatman, Ana-Lucia Varbanescu, Sascha Caron
REDVID is intended as a simulation-in-the-loop, to both generate synthetic data efficiently and to simplify the challenge of ML model design.
no code implementations • 20 Apr 2023 • Kristian Gonzalez Barman, Sascha Caron, Tom Claassen, Henk de Regt
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.
no code implementations • 21 Sep 2022 • Dominique J. Kösters, Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto de Austri, Johan Kwisthout, Hans Hilgenkamp, Theo Rasing, Heike Riel, Abu Sebastian, Sascha Caron, Johan H. Mentink
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.
1 code implementation • 12 Jan 2021 • The DarkMachines High Dimensional Sampling Group, Csaba Balázs, Melissa van Beekveld, Sascha Caron, Barry M. Dillon, Ben Farmer, Andrew Fowlie, Will Handley, Luc Hendriks, Guðlaugur Jóhannesson, Adam Leinweber, Judita Mamužić, Gregory D. Martinez, Pat Scott, Eduardo C. Garrido-Merchán, Roberto Ruiz de Austri, Zachary Searle, Bob Stienen, Joaquin Vanschoren, Martin White
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
1 code implementation • 19 May 2019 • Sascha Caron, Tom Heskes, Sydney Otten, Bob Stienen
Constraining the parameters of physical models with $>5-10$ parameters is a widespread problem in fields like particle physics and astronomy.
1 code implementation • 3 Jan 2019 • Sydney Otten, Sascha Caron, Wieske de Swart, Melissa van Beekveld, Luc Hendriks, Caspar van Leeuwen, Damian Podareanu, Roberto Ruiz de Austri, Rob Verheyen
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
2 code implementations • 18 Dec 2018 • Simone Amoroso, Sascha Caron, Adil Jueid, Roberto Ruiz de Austri, Peter Skands
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