Robert Alexander Caulk

12 papers A* 1A 1Journal 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
Comparing open-source DEM frameworks for simulations of common bulk processes.
Comput. Phys. Commun.
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, Vasyl Skorych, D. K. Weatherley, Thomas Weinhart
2024 J jnl
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI.
CoRR
Elin Törnquist, Robert Alexander Caulk
2024 J jnl
YADE - An extensible framework for the interactive simulation of multiscale, multiphase, and multiphysics particulate systems.
Comput. Phys. Commun.
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
2023 J jnl
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting.
CoRR
Elin Törnquist, Wagner Costa Santos, Timothy C. Pogue, Nicholas Wingle, Robert Alexander Caulk
2023 A conf
High Throughput Training of Deep Surrogates from Large Ensemble Runs.
SC
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
2023 J jnl
High Throughput Training of Deep Surrogates from Large Ensemble Runs.
CoRR
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
2023 J jnl
Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses.
J. Open Source Softw.
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
2023 A* conf
Training Deep Surrogate Models with Large Scale Online Learning.
ICML
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
2023 J jnl
Training Deep Surrogate Models with Large Scale Online Learning.
CoRR
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
2022 J jnl
FreqAI: generalizing adaptive modeling for chaotic time-series market forecasts.
J. Open Source Softw.
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
2020 J jnl
Accelerating Yade's poromechanical coupling with matrix factorization reuse, parallel task management, and GPU computing.
Comput. Phys. Commun.
Robert Alexander Caulk, Emanuele Catalano, Bruno Chareyre
2020 J jnl
spam: Software for Practical Analysis of Materials.
J. Open Source Softw.
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