Emilian Postolache

According to our database, Emilian Postolache authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

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

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations.

Ruben Ciranni, Emilian Postolache, Giorgio Mariani, Michele Mancusi, Luca Cosmo, Emanuele Rodolà

CoRR, 2024

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation.

Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models.

Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà

Proceedings of the IEEE International Conference on Acoustics, 2024

Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis.

Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Zero-Shot Duet Singing Voices Separation with Diffusion Models.

Chin-Yun Yu, Emilian Postolache, Emanuele Rodolà, György Fazekas

CoRR, 2023

Adversarial Permutation Invariant Training for Universal Sound Separation.

Emilian Postolache, Jordi Pons, Santiago Pascual, Joan Serrà

Proceedings of the IEEE International Conference on Acoustics, 2023

Accelerating Transformer Inference for Translation via Parallel Decoding.

Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Latent Autoregressive Source Separation.

Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Unsupervised Source Separation via Bayesian Inference in the Latent Domain.

Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà

CoRR, 2021

2020

A parametric analysis of discrete Hamiltonian functional maps.

Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà

Comput. Graph. Forum, 2020