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Conference and Workshop Papers
- 2024
[c4]Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. ICLR 2024- 2023
- [c3]Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. AAAI 2023: 9444-9452 - [c2]Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà:
Accelerating Transformer Inference for Translation via Parallel Decoding. ACL (1) 2023: 12336-12355 - [c1]Francesco Bonzi, Michele Mancusi, Simone Del Deo, Pierfrancesco Melucci, Maria Stella Tavella, Loreto Parisi, Emanuele Rodolà:
Exploiting Music Source Separation For Singing Voice Detection. MLSP 2023: 1-6
Informal and Other Publications
- 2024
- [i8]Ruben Ciranni, Emilian Postolache, Giorgio Mariani, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. CoRR abs/2404.16969 (2024) - [i7]Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji:
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. CoRR abs/2409.06096 (2024) - [i6]Tushar Dhyani, Florian Lux, Michele Mancusi, Giorgio Fabbro, Fritz Hohl, Ngoc Thang Vu:
High-Resolution Speech Restoration with Latent Diffusion Model. CoRR abs/2409.11145 (2024) - 2023
- [i5]Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. CoRR abs/2301.08562 (2023) - [i4]Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. CoRR abs/2302.02257 (2023) - [i3]Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà:
Accelerating Transformer Inference for Translation via Parallel Decoding. CoRR abs/2305.10427 (2023) - 2022
- [i2]Michele Mancusi, Nicola Zonca, Emanuele Rodolà, Silvia Zuffi:
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation. CoRR abs/2201.05013 (2022) - 2021
- [i1]Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Unsupervised Source Separation via Bayesian Inference in the Latent Domain. CoRR abs/2110.05313 (2021)
Coauthor Index
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