A parametric analysis of discrete Hamiltonian functional maps. - Emilian Postolache; Marco Fumero; Luca Cosmo; Emanuele Rodolà (Comput. Graph. Forum, 2020)

Unsupervised Source Separation via Bayesian Inference in the Latent Domain. - Michele Mancusi; Emilian Postolache; Marco Fumero; Andrea Santilli; Luca Cosmo; Emanuele Rodolà (CoRR, 2021)

Latent Autoregressive Source Separation. - Emilian Postolache; Giorgio Mariani; Michele Mancusi; Andrea Santilli; Luca Cosmo; Emanuele Rodolà (AAAI, 2023)

Accelerating Transformer Inference for Translation via Parallel Decoding. - Andrea Santilli; Silvio Severino; Emilian Postolache; Valentino Maiorca; Michele Mancusi; Riccardo Marin; Emanuele Rodolà (ACL (1), 2023)

Adversarial Permutation Invariant Training for Universal Sound Separation. - Emilian Postolache; Jordi Pons; Santiago Pascual; Joan Serrà (ICASSP, 2023)

Zero-Shot Duet Singing Voices Separation with Diffusion Models. - Chin-Yun Yu; Emilian Postolache; Emanuele Rodolà; György Fazekas (CoRR, 2023)

Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis. - Marco Comunità; Riccardo F. Gramaccioni; Emilian Postolache; Emanuele Rodolà; Danilo Comminiello; Joshua D. Reiss (ICASSP, 2024)

Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. - Emilian Postolache; Giorgio Mariani; Luca Cosmo; Emmanouil Benetos; Emanuele Rodolà (ICASSP, 2024)

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. - Giorgio Mariani; Irene Tallini; Emilian Postolache; Michele Mancusi; Luca Cosmo; Emanuele Rodolà (ICLR, 2024)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. - Ruben Ciranni; Emilian Postolache; Giorgio Mariani; Michele Mancusi; Luca Cosmo; Emanuele Rodolà (CoRR, 2024)

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. - Emilian Postolache; Natalia Polouliakh; Hiroaki Kitano; Akima Connelly; Emanuele Rodolà; Taketo Akama (CoRR, 2024)

Stable-V2A: Synthesis of Synchronized Sound Effects with Temporal and Semantic Controls. - Riccardo Fosco Gramaccioni; Christian Marinoni; Emilian Postolache; Marco Comunità; Luca Cosmo; Joshua D. Reiss; Danilo Comminiello (CoRR, 2024)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. - Ruben Ciranni; Giorgio Mariani; Michele Mancusi; Emilian Postolache; Giorgio Fabbro; Emanuele Rodolà; Luca Cosmo (ICASSP, 2025)

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. - Emilian Postolache; Natalia Polouliakh; Hiroaki Kitano; Akima Connelly; Emanuele Rodolà; Luca Cosmo; Taketo Akama (ICASSP, 2025)