Computerised Patient Record with Distributed Objects. - Tomaz Gornik; Andrej Orel; Dominik Roblek; Roman Verhovsek (MIE, 1999)

Improving Scalability in Pub-Sub Knowledge-Based Networking by Semantic Clustering. - John Keeney; Dominic Jones; Dominik Roblek; David Lewis 001; Declan O'Sullivan (OTM Workshops (1), 2007)

Extending Siena to support more expressive and flexible subscriptions. - John Keeney; Dominik Roblek; Dominic Jones; David Lewis 001; Declan O'Sullivan (DEBS, 2008)

Knowledge-based semantic clustering. - John Keeney; Dominic Jones; Dominik Roblek; David Lewis 001; Declan O'Sullivan (SAC, 2008)

Now Playing: Continuous low-power music recognition. - Blaise Agüera y Arcas; Beat Gfeller; Ruiqi Guo; Kevin Kilgour; Sanjiv Kumar; James Lyon; Julian Odell; Marvin Ritter; Dominik Roblek; Matthew Sharifi; Mihajlo Velimirovic (CoRR, 2017)

An Empirical Study of Generative Models with Encoders. - Paul K. Rubenstein; Yunpeng Li; Dominik Roblek (CoRR, 2018)

Fréchet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms. - Kevin Kilgour; Mauricio Zuluaga; Dominik Roblek; Matthew Sharifi (CoRR, 2018)

Fréchet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement Algorithms. - Kevin Kilgour; Mauricio Zuluaga; Dominik Roblek; Matthew Sharifi (INTERSPEECH, 2019)

Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition. - David B. Ramsay; Kevin Kilgour; Dominik Roblek; Matthew Sharifi (INTERSPEECH, 2019)

From Here to There: Video Inbetweening Using Direct 3D Convolutions. - Yunpeng Li 008; Dominik Roblek; Marco Tagliasacchi (CoRR, 2019)

Self-supervised audio representation learning for mobile devices. - Marco Tagliasacchi; Beat Gfeller; Felix de Chaumont Quitry; Dominik Roblek (CoRR, 2019)

Learning audio representations via phase prediction. - Felix de Chaumont Quitry; Marco Tagliasacchi; Dominik Roblek (CoRR, 2019)

Pitch Estimation Via Self-Supervision. - Beat Gfeller; Christian Havnø Frank; Dominik Roblek; Matthew Sharifi; Marco Tagliasacchi; Mihajlo Velimirovic (ICASSP, 2020)

Training Keyword Spotters with Limited and Synthesized Speech Data. - James Lin; Kevin Kilgour; Dominik Roblek; Matthew Sharifi (ICASSP, 2020)

SEANet: A Multi-Modal Speech Enhancement Network. - Marco Tagliasacchi; Yunpeng Li 008; Karolis Misiunas; Dominik Roblek (INTERSPEECH, 2020)

Learning to Denoise Historical Music. - Yunpeng Li 008; Marco Tagliasacchi; Beat Gfeller; Dominik Roblek (ISMIR, 2020)

Pre-Training Audio Representations With Self-Supervision. - Marco Tagliasacchi; Beat Gfeller; Felix de Chaumont Quitry; Dominik Roblek (IEEE Signal Process. Lett., 2020)

Multi-Task Adapters for On-Device Audio Inference. - Marco Tagliasacchi; Felix de Chaumont Quitry; Dominik Roblek (IEEE Signal Process. Lett., 2020)

SPICE: Self-Supervised Pitch Estimation. - Beat Gfeller; Christian Havnø Frank; Dominik Roblek; Matthew Sharifi; Marco Tagliasacchi; Mihajlo Velimirovic (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

One-Shot Conditional Audio Filtering of Arbitrary Sounds. - Beat Gfeller; Dominik Roblek; Marco Tagliasacchi (ICASSP, 2021)

Real-Time Speech Frequency Bandwidth Extension. - Yunpeng Li 008; Marco Tagliasacchi; Oleg Rybakov; Victor Ungureanu; Dominik Roblek (ICASSP, 2021)

AudioLM: A Language Modeling Approach to Audio Generation. - Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matthew Sharifi; Dominik Roblek; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour (IEEE ACM Trans. Audio Speech Lang. Process., 2023)