Insights in evolutionary exploration of robot morphology spaces. - Karine Miras; Arwin Gansekoele; Kyrre Glette; A. E. Eiben (SSCI, 2018)

Learning to request guidance in emergent language. - Benjamin Kolb; Leon Lang; Henning Bartsch; Arwin Gansekoele; Raymond Koopmanschap; Leonardo Romor; David Speck 002; Mathijs Mul; Elia Bruni (LANTERN@EMNLP-IJCNLP, 2019)

Learning to Request Guidance in Emergent Communication. - Benjamin Kolb; Leon Lang; Henning Bartsch; Arwin Gansekoele; Raymond Koopmanschap; Leonardo Romor; David Speck 002; Mathijs Mul; Elia Bruni (CoRR, 2019)

Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption. - Arwin Gansekoele; Tycho Bot; Rob van der Mei; Sandjai Bhulai; Mark Hoogendoorn (WI/IAT, 2023)

Robustly overfitting latents for flexible neural image compression. - Yura Perugachi-Diaz; Arwin Gansekoele; Sandjai Bhulai (NeurIPS, 2024)

A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations. - Arwin Gansekoele; Alexios Balatsoukas-Stimming; Tom Brusse; Mark Hoogendoorn; Sandjai Bhulai; Rob van der Mei (CoRR, 2024)

Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes. - Arwin Gansekoele; Emiel Hess; Sandjai Bhulai (CoRR, 2024)

Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications. - Arwin Gansekoele; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei (Trans. Mach. Learn. Res., 2025)

The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning. - Hilde I. Hummel; Arwin Gansekoele; Sandjai Bhulai; Rob van der Mei (CoRR, 2025)