Zalan Borsos

According to our database, Zalan Borsos authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Summarization via Bilevel Optimization.

Zalán Borsos, Mojmír Mutný, Marco Tagliasacchi, Andreas Krause

J. Mach. Learn. Res., 2024

MusicRL: Aligning Music Generation to Human Preferences.

Geoffrey Cideron, Sertan Girgin, Mauro Verzetti, Damien Vincent, Matej Kastelic, Zalán Borsos, Brian McWilliams, Victor Ungureanu, Olivier Bachem, Olivier Pietquin, Matthieu Geist, Léonard Hussenot, Neil Zeghidour, Andrea Agostinelli

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision.

Eugene Kharitonov, Damien Vincent, Zalán Borsos, Raphaël Marinier, Sertan Girgin, Olivier Pietquin, Matt Sharifi, Marco Tagliasacchi, Neil Zeghidour

Trans. Assoc. Comput. Linguistics, 2023

AudioPaLM: A Large Language Model That Can Speak and Listen.

Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, Hannah Muckenhirn, Dirk Padfield, James Qin, Danny Rozenberg, Tara N. Sainath, Johan Schalkwyk, Matthew Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirovic, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Havnø Frank

CoRR, 2023

SoundStorm: Efficient Parallel Audio Generation.

Zalán Borsos, Matthew Sharifi, Damien Vincent, Eugene Kharitonov, Neil Zeghidour, Marco Tagliasacchi

CoRR, 2023

MusicLM: Generating Music From Text.

Andrea Agostinelli, Timo I. Denk, Zalán Borsos, Jesse H. Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matthew Sharifi, Neil Zeghidour, Christian Havnø Frank

CoRR, 2023

TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition.

Hakan Erdogan, Scott Wisdom, Xuankai Chang, Zalán Borsos, Marco Tagliasacchi, Neil Zeghidour, John R. Hershey

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Disentangling Speech from Surroundings with Neural Embeddings.

Ahmed Omran, Neil Zeghidour, Zalán Borsos, Félix de Chaumont Quitry, Malcolm Slaney, Marco Tagliasacchi

Proceedings of the IEEE International Conference on Acoustics, 2023

LMCodec: A Low Bitrate Speech Codec with Causal Transformer Models.

Teerapat Jenrungrot, Michael Chinen, W. Bastiaan Kleijn, Jan Skoglund, Zalán Borsos, Neil Zeghidour, Marco Tagliasacchi

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

AudioLM: a Language Modeling Approach to Audio Generation.

Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matthew Sharifi, Olivier Teboul, David Grangier, Marco Tagliasacchi, Neil Zeghidour

CoRR, 2022

Disentangling speech from surroundings in a neural audio codec.

Ahmed Omran, Neil Zeghidour, Zalán Borsos, Félix de Chaumont Quitry, Malcolm Slaney, Marco Tagliasacchi

CoRR, 2022

SpeechPainter: Text-conditioned Speech Inpainting.

Zalan Borsos, Matthew Sharifi, Marco Tagliasacchi

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Data Summarization in Modern Machine Learning.

Zalán Borsos

PhD thesis, 2021

Semi-Supervised Batch Active Learning Via Bilevel Optimization.

Zalán Borsos, Marco Tagliasacchi, Andreas Krause

Proceedings of the IEEE International Conference on Acoustics, 2021

Micaugment: One-Shot Microphone Style Transfer.

Zalán Borsos, Yunpeng Li, Beat Gfeller, Marco Tagliasacchi

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Coresets via Bilevel Optimization for Continual Learning and Streaming.

Zalán Borsos, Mojmir Mutny, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents.

Zalán Borsos, Andrey Khorlin, Andrea Gesmundo

CoRR, 2019

Online Variance Reduction with Mixtures.

Zalán Borsos, Sebastian Curi, Kfir Yehuda Levy, Andreas Krause

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Dealing with overlap and imbalance: a new metric and approach.

Zalán Borsos, Camelia Lemnaru, Rodica Potolea

Pattern Anal. Appl., 2018

Inference of the three-dimensional chromatin structure and its temporal behavior.

Bianca-Cristina Cristescu, Zalán Borsos, John Lygeros, María Rodríguez Martínez, Maria Anna Rapsomaniki

CoRR, 2018

Online Variance Reduction for Stochastic Optimization.

Zalan Borsos, Andreas Krause, Kfir Y. Levy

Proceedings of the Conference On Learning Theory, 2018

2013

Implementing Modular FFTs in FPGAs - A Basic Block for Lattice-Based Cryptography.

Tamas Györfi, Octavian Cret, Zalan Borsos

Proceedings of the 2013 Euromicro Conference on Digital System Design, 2013