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Emilian Postolache
Emilian Postolache
Verified email at unive.it - Homepage
Title
Cited by
Cited by
Year
Accelerating transformer inference for translation via parallel decoding
A Santilli, S Severino, E Postolache, V Maiorca, M Mancusi, R Marin, ...
arXiv preprint arXiv:2305.10427, 2023
332023
Multi-source diffusion models for simultaneous music generation and separation
G Mariani, I Tallini, E Postolache, M Mancusi, L Cosmo, E Rodolà
arXiv preprint arXiv:2302.02257, 2023
192023
A parametric analysis of discrete Hamiltonian functional maps
E Postolache, M Fumero, L Cosmo, E Rodola
Computer Graphics Forum 39 (5), 103-118, 2020
72020
Latent autoregressive source separation
E Postolache, G Mariani, M Mancusi, A Santilli, L Cosmo, E Rodolà
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9444-9452, 2023
62023
Generalized multi-source inference for text conditioned music diffusion models
E Postolache, G Mariani, L Cosmo, E Benetos, E Rodolà
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
52024
Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis
M Comunità, RF Gramaccioni, E Postolache, E Rodolà, D Comminiello, ...
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
42024
Adversarial Permutation Invariant Training for Universal Sound Separation
E Postolache, J Pons, S Pascual, J Serrà
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
42023
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
R Ciranni, E Postolache, G Mariani, M Mancusi, L Cosmo, E Rodolà
arXiv preprint arXiv:2404.16969, 2024
12024
Zero-Shot Duet Singing Voices Separation with Diffusion Models
CY Yu, E Postolache, E Rodolà, G Fazekas
arXiv preprint arXiv:2311.07345, 2023
12023
Unsupervised source separation via Bayesian inference in the latent domain
M Mancusi, E Postolache, G Mariani, M Fumero, A Santilli, L Cosmo, ...
arXiv preprint arXiv:2110.05313, 2021
12021
From source separation to compositional music generation
E Postolache
Università degli Studi di Roma" La Sapienza", 2024
2024
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models
E Postolache, N Polouliakh, H Kitano, A Connelly, E Rodolà, T Akama
arXiv preprint arXiv:2405.09062, 2024
2024
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