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ORCIDEmilian Postolache
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2020 – today
- 2024
[c6]Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss:
Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis. ICASSP 2024: 936-940- [c5]Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà:
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. ICASSP 2024: 6980-6984 - [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 - [i10]Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà:
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. CoRR abs/2403.11706 (2024) - [i9]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) - [i8]Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano, Akima Connelly, Emanuele Rodolà, Taketo Akama:
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. CoRR abs/2405.09062 (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]Emilian Postolache, Jordi Pons, Santiago Pascual, Joan Serrà:
Adversarial Permutation Invariant Training for Universal Sound Separation. ICASSP 2023: 1-5 - [i7]Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. CoRR abs/2301.08562 (2023) - [i6]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) - [i5]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) - [i4]Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss:
SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis. CoRR abs/2310.15247 (2023) - [i3]Chin-Yun Yu, Emilian Postolache, Emanuele Rodolà, György Fazekas:
Zero-Shot Duet Singing Voices Separation with Diffusion Models. CoRR abs/2311.07345 (2023) - 2022
- [i2]Emilian Postolache, Jordi Pons, Santiago Pascual, Joan Serrà:
Adversarial Permutation Invariant Training for Universal Sound Separation. CoRR abs/2210.12108 (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) - 2020
- [j1]Emilian Postolache
, Marco Fumero, Luca Cosmo, Emanuele Rodolà:
A parametric analysis of discrete Hamiltonian functional maps. Comput. Graph. Forum 39(5): 103-118 (2020)
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