| 2020 | ICASSP | Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. | Yin-Jyun Luo, Chin-Cheng Hsu, Kat Agres, Dorien Herremans |
| 2020 | IJCNN | The Impact of Audio Input Representations on Neural Network based Music Transcription. | Kin Wai Cheuk, Kat Agres, Dorien Herremans |
| 2019 | CogSci | Statistical Learning Ability as a Measure of Cognitive Function. | Steffen Herff, Nur Amirah Abdul Rashid, Jimmy Lee, Tih Shih Lee, Kat Agres |
| 2019 | CogSci | Untangling indices of emotion in music using neural networks. | Dorien Herremans, Kin Wai Cheuk, Yin-Jyun Luo, Kat Agres |
| 2019 | SMC | A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG. | Pinar Bilgin, Kat Agres, Neethu Robinson, Aung Aung Phyo Wai, Cuntai Guan |
| 2015 | CogSci | A Computational Approach to Modelling the Perception of Pitch and Tonality in Music. | Kat Agres, Carlos Cancino, Maarten Grachten, Stefan Lattner |
| 2015 | ICCBR | Schematic Processing as a Framework for Learning and Creativity in CBR and CC. | Kat Agres, Geraint A. Wiggins |
| 2013 | CogSci | An Information-Theoretic Account of Musical Expectation and Memory. | Kat Agres, Samer Abdallah, Marcus T. Pearce |