Stratified Space Learning: Reconstructing Embedded Graphs. - Yossi Bokor; Daniel Grixti-Cheng; Markus Hegland; Stephen G. Roberts; Katharine Turner (CoRR, 2019)

On the use of the Relative Transfer Function for Source Separation using Two-channel Recordings. - Alice P. Bates; Daniel Grixti-Cheng; Prasanga N. Samarasinghe; Thushara D. Abhayapala (APSIPA, 2020)

Universal Approximation with Neural Intensity Point Processes. - Alexander Soen; Alexander Patrick Mathews; Daniel Grixti-Cheng; Lexing Xie (CoRR, 2020)

UNIPoint: Universally Approximating Point Processes Intensities. - Alexander Soen; Alexander Patrick Mathews; Daniel Grixti-Cheng; Lexing Xie (AAAI, 2021)

Noise RETF Estimation and Removal for Low SNR Speech Enhancement. - Lachlan Birnie; Prasanga N. Samarasinghe; Thushara D. Abhayapala; Daniel Grixti-Cheng (MLSP, 2021)

Generalizing the Relative Transfer Function to a Matrix for Multiple Sources and Multichannel Microphones. - Thushara D. Abhayapala; Lachlan Birnie; Manish Kumar; Daniel Grixti-Cheng; Prasanga N. Samarasinghe (EUSIPCO, 2023)

Speech Denoising in Multi-Noise Source Environments Using Multiple Microphone Devices Via Relative Transfer Matrix. - Manish Kumar; Lachlan Birnie; Thushara D. Abhayapala; Sandra Arcos Holzinger; Amy Bastine; Daniel Grixti-Cheng; Prasanga N. Samarasinghe (EUSIPCO, 2024)