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Project NAST
Name: NAST

Publications of NAST sorted by first author

B

Bayesian Recurrent Units and the Forward Backward Algorithm, Alexandre Bittar and Philip N. Garner, in: Proc. Interspeech 2022, pages 4137-4141, 2022
[DOI]
A Bayesian Interpretation of the Light Gated Recurrent Unit, Alexandre Bittar and Philip N. Garner, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
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[DOI]

C

A Bayesian Interpretation of Adaptive Low-Rank Adaptation, Haolin Chen and Philip N. Garner, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting, Haolin Chen and Philip N. Garner, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
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[DOI]
Diffusion Transformer for Adaptive Text-to-Speech, Haolin Chen and Philip N. Garner, in: Proc. 12th ISCA Speech Synthesis Workshop (SSW 12), 2023
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[DOI]

G

A Bayesian Approach to Recurrence in Neural Networks, Philip N. Garner and Sibo Tong, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(8):2527--2537, 2021
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[DOI]

K


M

HyperMixer: An MLP-based Low Cost Alternative to Transformers, Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli, Francois Fleuret and James Henderson, in: Proc. of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Toronto, Canada, pages 15632-15654, 2023
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[DOI]

S

Controllability and Interpretability in Affective Speech Synthesis, Bastian Schnell, École polytechnique fédérale de Lausanne, 2022
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[DOI]
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