Sascha Caron

According to our database, Sascha Caron authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards a Benchmark for Scientific Understanding in Humans and Machines.

Kristian Gonzalez Barman, Sascha Caron, Tom Claassen, Henk W. de Regt

Minds Mach., February, 2024

TrackFormers: In Search of Transformer-Based Particle Tracking for the High-Luminosity LHC Era.

Sascha Caron, Nadezhda Dobreva, Antonio Ferrer-Sánchez, José D. Martín-Guerrero, Uraz Odyurt, Roberto Ruiz de Austri Bazan, Zef Wolffs, Yue Zhao

CoRR, 2024

Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering.

Uraz Odyurt, Nadezhda Dobreva, Zef Wolffs, Yue Zhao, Antonio Ferrer-Sánchez, Roberto Ruiz de Austri Bazan, José D. Martín-Guerrero, Ana Lucia Varbanescu, Sascha Caron

CoRR, 2024

Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research.

Uraz Odyurt, Stephen Nicholas Swatman, Ana Lucia Varbanescu, Sascha Caron

Proceedings of the Computational Science - ICCS 2024, 2024

2022

Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics.

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

CoRR, 2022

2021

Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data.

Faruk Diblen, Luc Hendriks, Bob Stienen, Sascha Caron, Rena Bakhshi, Jisk Attema

Frontiers Big Data, 2021

2020

Deep-learning enhancement of large scale numerical simulations.

Caspar van Leeuwen, Damian Podareanu, Valeriu Codreanu, Maxwell X. Cai, Axel Berg, Simon Portegies Zwart, Robin Stoffer, Menno Veerman, Chiel van Heerwaarden, Sydney Otten, Sascha Caron, Cunliang Geng, Francesco Ambrosetti, Alexandre M. J. J. Bonvin

CoRR, 2020

2019

spot: Open Source framework for scientific data repository and interactive visualization.

Faruk Diblen, Jisk Attema, Rena Bakhshi, Sascha Caron, Luc Hendriks, Bob Stienen

SoftwareX, 2019

Constraining the Parameters of High-Dimensional Models with Active Learning.

Sascha Caron, Tom Heskes, Sydney Otten, Bob Stienen

CoRR, 2019

2018

SPOT: Open Source Visual Data Analytics Platform for High-Dimensional Scientific Data.

Faruk Diblen, Jisk Attema, Rena Bakhshi, Bob Stienen, Luc Hendriks, Sascha Caron

Proceedings of the 14th IEEE International Conference on e-Science, 2018