Implementing Modular FFTs in FPGAs - A Basic Block for Lattice-Based Cryptography. - Tamas Györfi; Octavian Cret; Zalan Borsos (DSD, 2013)

Online Variance Reduction for Stochastic Optimization. - Zalan Borsos; Andreas Krause 001; Kfir Y. Levy (COLT, 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)

Dealing with overlap and imbalance: a new metric and approach. - Zalán Borsos; Camelia Lemnaru; Rodica Potolea (Pattern Anal. Appl., 2018)

Online Variance Reduction with Mixtures. - Zalán Borsos; Sebastian Curi; Kfir Yehuda Levy; Andreas Krause 001 (ICML, 2019)

Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents. - Zalán Borsos; Andrey Khorlin; Andrea Gesmundo (CoRR, 2019)

Coresets via Bilevel Optimization for Continual Learning and Streaming. - Zalán Borsos; Mojmir Mutny; Andreas Krause 001 (NeurIPS, 2020)

Micaugment: One-Shot Microphone Style Transfer. - Zalán Borsos; Yunpeng Li 008; Beat Gfeller; Marco Tagliasacchi (ICASSP, 2021)

Semi-Supervised Batch Active Learning Via Bilevel Optimization. - Zalán Borsos; Marco Tagliasacchi; Andreas Krause 001 (ICASSP, 2021)

Data Summarization in Modern Machine Learning. - Zalán Borsos (2021)

SpeechPainter: Text-conditioned Speech Inpainting. - Zalan Borsos; Matthew Sharifi; Marco Tagliasacchi (INTERSPEECH, 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)

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)

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 (ICASSP, 2023)

Disentangling Speech from Surroundings with Neural Embeddings. - Ahmed Omran; Neil Zeghidour; Zalán Borsos; Félix de Chaumont Quitry; Malcolm Slaney; Marco Tagliasacchi (ICASSP, 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 (INTERSPEECH, 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; et al. (CoRR, 2023)

SoundStorm: Efficient Parallel Audio Generation. - Zalán Borsos; Matthew Sharifi; Damien Vincent; Eugene Kharitonov; Neil Zeghidour; Marco Tagliasacchi (CoRR, 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 002; Eugene Kharitonov; Hannah Muckenhirn; Dirk Padfield; et al. (CoRR, 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)

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)

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; et al. (ICML, 2024)

Data Summarization via Bilevel Optimization. - Zalán Borsos; Mojmír Mutný; Marco Tagliasacchi; Andreas Krause 001 (J. Mach. Learn. Res., 2024)

Live Music Models. - Antoine Caillon; Brian McWilliams; Cassie Tarakajian; Ian Simon; Ilaria Manco; Jesse H. Engel; Noah Constant; Yunpeng Li 008; Timo I. Denk; Alberto Lalama; Andrea Agostinelli; Cheng-Zhi Anna Huang; et al. (CoRR, 2025)

SpectroStream: A Versatile Neural Codec for General Audio. - Yunpeng Li 008; Kehang Han; Brian McWilliams; Zalan Borsos; Marco Tagliasacchi (CoRR, 2025)