Ties Robroek

According to our database, Ties Robroek authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Modyn: Data-Centric Machine Learning Pipeline Orchestration.

Maximilian Böther, Ties Robroek, Viktor Gsteiger, Robin Holzinger, Xianzhe Ma, Pinar Tözün, Ana Klimovic

Proc. ACM Manag. Data, February, 2025

TensorSocket: Shared Data Loading for Deep Learning Training.

Ties Robroek, Neil Kim Nielsen, Pinar Tözün

Proc. ACM Manag. Data, 2025

Towards A Modular End-To-End Machine Learning Benchmarking Framework.

Robert Bayer, Ties Robroek, Pinar Tözün

Proceedings of the 3rd International Workshop on Testing Distributed Internet of Things Systems, 2025

2024

An Analysis of Collocation on GPUs for Deep Learning Training.

Ties Robroek, Ehsan Yousefzadeh-Asl-Miandoab, Pinar Tözün

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

Modyn: A Platform for Model Training on Dynamic Datasets With Sample-Level Data Selection.

Maximilian Böther, Viktor Gsteiger, Ties Robroek, Ana Klimovic

CoRR, 2023

Profiling and Monitoring Deep Learning Training Tasks.

Ehsan Yousefzadeh-Asl-Miandoab, Ties Robroek, Pinar Tözün

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Data Management and Visualization for Benchmarking Deep Learning Training Systems.

Ties Robroek, Aaron Duane, Ehsan Yousefzadeh-Asl-Miandoab, Pinar Tözün

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022

Deep Learning Training on Multi-Instance GPUs.

Anders Friis Kaas, Stilyan Petrov Paleykov, Ties Robroek, Pinar Tözün

CoRR, 2022

2020

Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees.

Cosmin Eugen Oancea, Ties Robroek, Fabian Gieseke

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020