Arwin Gansekoele

12 papers A* 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications.
CoRR
Arwin Gansekoele, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
2025 J jnl
Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications.
Trans. Mach. Learn. Res.
Arwin Gansekoele, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
2025 J jnl
The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning.
CoRR
Hilde I. Hummel, Arwin Gansekoele, Sandjai Bhulai, Rob van der Mei
2024 J jnl
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations.
CoRR
Arwin Gansekoele, Alexios Balatsoukas-Stimming, Tom Brusse, Mark Hoogendoorn, Sandjai Bhulai, Rob van der Mei
2024 J jnl
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes.
CoRR
Arwin Gansekoele, Emiel Hess, Sandjai Bhulai
2024 A* conf
Robustly overfitting latents for flexible neural image compression.
NeurIPS
Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai
2024 J jnl
Robustly overfitting latents for flexible neural image compression.
CoRR
Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai
2024 J jnl
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption.
CoRR
Arwin Gansekoele, Tycho Bot, Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn
2023 — conf
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption.
WI/IAT
Arwin Gansekoele, Tycho Bot, Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn
2019 J jnl
Learning to Request Guidance in Emergent Communication.
CoRR
Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni
2019 — conf
Learning to request guidance in emergent language.
LANTERN@EMNLP-IJCNLP
Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni
2018 — conf
Insights in evolutionary exploration of robot morphology spaces.
SSCI
Karine Miras, Arwin Gansekoele, Kyrre Glette, A. E. Eiben