Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees. - Cosmin Eugen Oancea; Ties Robroek; Fabian Gieseke (IEEE BigData, 2020)

Deep Learning Training on Multi-Instance GPUs. - Anders Friis Kaas; Stilyan Petrov Paleykov; Ties Robroek; Pinar Tözün (CoRR, 2022)

Data Management and Visualization for Benchmarking Deep Learning Training Systems. - Ties Robroek; Aaron Duane; Ehsan Yousefzadeh-Asl-Miandoab; Pinar Tözün (DEEM@SIGMOD, 2023)

Profiling and Monitoring Deep Learning Training Tasks. - Ehsan Yousefzadeh-Asl-Miandoab; Ties Robroek; Pinar Tözün (EuroMLSys@EuroSys, 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)

An Analysis of Collocation on GPUs for Deep Learning Training. - Ties Robroek; Ehsan Yousefzadeh-Asl-Miandoab; Pinar Tözün (EuroMLSys@EuroSys, 2024)

TensorSocket: Shared Data Loading for Deep Learning Training. - Ties Robroek; Neil Kim Nielsen; Pinar Tözün (CoRR, 2024)

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, 2025)