Modelling human sound localization with deep neural networks. - Kiki van der Heijden; Siamak Mehrkanoon (ESANN, 2020)

BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization. - Sheng Kuang; Kiki van der Heijden; Siamak Mehrkanoon (CoRR, 2022)

Goal-driven, neurobiological-inspired convolutional neural network models of human spatial hearing. - Kiki van der Heijden; Siamak Mehrkanoon (Neurocomputing, 2022)

Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments. - Wessel Ledder; Yuzhen Qin; Kiki van der Heijden (ICASSP, 2025)

BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization. - Sheng Kuang; Jie Shi; Kiki van der Heijden; Siamak Mehrkanoon (Neurocomputing, 2025)

Leveraging Spatial Cues from Cochlear Implant Microphones to Efficiently Enhance Speech Separation in Real-World Listening Scenes. - Feyisayo Olalere; Kiki van der Heijden; Christiaan H. Stronks; Jeroen J. Briaire; Johan H. M. Frijns; Marcel van Gerven (CoRR, 2025)

General-purpose audio representation learning for real-world sound scenes. - Goksenin Yuksel; Marcel van Gerven; Kiki van der Heijden (CoRR, 2025)