Robert Alexander Caulk

According to our database, Robert Alexander Caulk authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Comparing open-source DEM frameworks for simulations of common bulk processes.

M. Dosta, D. Andre, Vasileios Angelidakis, Robert Alexander Caulk, M. A. Celigueta, Bruno Chareyre, J.-F. Dietiker, Jeremie Girardot, N. Govender, C. Hubert, R. Kobylka, A. F. Moura, V. Skorych, D. K. Weatherley, Thomas Weinhart

Comput. Phys. Commun., 2024

YADE - An extensible framework for the interactive simulation of multiscale, multiphase, and multiphysics particulate systems.

Vasileios Angelidakis, Katia Boschi, Karol Brzezinski, Robert Alexander Caulk, Bruno Chareyre, Carlos Andrés del Valle, Jérôme Duriez, Anton Gladky, Dingeman L. H. van der Haven, Janek Kozicki, Gerald Pekmezi, Luc Scholtès, Klaus Thoeni

Comput. Phys. Commun., 2024

Curating Grounded Synthetic Data with Global Perspectives for Equitable AI.

Elin Törnquist, Robert Alexander Caulk

CoRR, 2024

2023

Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses.

Marc Schouler, Robert Alexander Caulk, Lucas Thibaut Meyer, Théophile Terraz, Christoph Conrads, Sebastian Friedemann, Achal Agarwal, Juan Manuel Baldonado, Bartlomiej Pogodzinski, Anna Sekula, Alejandro Ribés, Bruno Raffin

J. Open Source Softw., July, 2023

Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting.

Elin Törnquist, Wagner Costa Santos, Timothy C. Pogue, Nicholas Wingle, Robert Alexander Caulk

CoRR, 2023

High Throughput Training of Deep Surrogates from Large Ensemble Runs.

Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin

Proceedings of the International Conference for High Performance Computing, 2023

Training Deep Surrogate Models with Large Scale Online Learning.

Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin

Proceedings of the International Conference on Machine Learning, 2023

2022

FreqAI: generalizing adaptive modeling for chaotic time-series market forecasts.

Robert Alexander Caulk, Elin Törnquist, Matthias Voppichler, Andrew R. Lawless, Ryan McMullan, Wagner Costa Santos, Timothy C. Pogue, Johan van der Vlugt, Stefan P. Gehring, Pascal Schmidt

J. Open Source Softw., December, 2022

2020

spam: Software for Practical Analysis of Materials.

Olga Stamati, Edward Andò, Emmanuel Roubin, Rémi Cailletaud, Max Wiebicke, Gustavo Pinzon, Cyrille Couture, Ryan Hurley, Robert Alexander Caulk, Denis Caillerie, Takashi Matsushima, Pierre Bésuelle, Félix Bertoni, Tom Arnaud, Alejandro Laborin, Riccardo Rorato, Yue Sun, Alessandro Tengattini, Olumide Okubadejo, Jean-Baptiste Colliat, Mohammad Saadatfar, Fernando Garcia, Christos Papazoglou, Ilija Vego, Sébastien Brisard, Jelke Dijkstra, Georgios Birmpilis

J. Open Source Softw., 2020

Accelerating Yade's poromechanical coupling with matrix factorization reuse, parallel task management, and GPU computing.

Robert Alexander Caulk, Emanuele Catalano, Bruno Chareyre

Comput. Phys. Commun., 2020