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Luca Della Libera
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2020 – today
- 2024
- [j1]Luca Della Libera, Pooneh Mousavi, Salah Zaiem, Cem Subakan, Mirco Ravanelli:
CL-MASR: A Continual Learning Benchmark for Multilingual ASR. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4931-4944 (2024) - [c3]Luca Della Libera, Cem Subakan, Mirco Ravanelli, Samuele Cornell, Frédéric Lepoutre, François Grondin:
Resource-Efficient Separation Transformer. ICASSP 2024: 761-765 - [c2]Luca Della Libera, Cem Subakan, Mirco Ravanelli:
Focal Modulation Networks for Interpretable Sound Classification. ICASSP Workshops 2024: 853-857 - [i10]Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto:
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. CoRR abs/2402.01098 (2024) - [i9]Luca Della Libera, Cem Subakan, Mirco Ravanelli:
Focal Modulation Networks for Interpretable Sound Classification. CoRR abs/2402.02754 (2024) - [i8]Francesco Paissan, Luca Della Libera, Mirco Ravanelli, Cem Subakan:
Listenable Maps for Zero-Shot Audio Classifiers. CoRR abs/2405.17615 (2024) - [i7]Pooneh Mousavi, Jarod Duret, Salah Zaiem, Luca Della Libera, Artem Ploujnikov, Cem Subakan, Mirco Ravanelli:
How Should We Extract Discrete Audio Tokens from Self-Supervised Models? CoRR abs/2406.10735 (2024) - [i6]Pooneh Mousavi, Luca Della Libera, Jarod Duret, Artem Ploujnikov, Cem Subakan, Mirco Ravanelli:
DASB - Discrete Audio and Speech Benchmark. CoRR abs/2406.14294 (2024) - [i5]Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève:
Open-Source Conversational AI with SpeechBrain 1.0. CoRR abs/2407.00463 (2024) - [i4]Fabian Bongratz, Vladimir Golkov, Lukas Mautner, Luca Della Libera, Frederik Heetmeyer, Felix Czaja, Julian Rodemann, Daniel Cremers:
How to Choose a Reinforcement-Learning Algorithm. CoRR abs/2407.20917 (2024) - [i3]Luca Della Libera:
Soft Actor-Critic with Beta Policy via Implicit Reparameterization Gradients. CoRR abs/2409.04971 (2024) - 2023
- [i2]Luca Della Libera, Pooneh Mousavi, Salah Zaiem, Cem Subakan, Mirco Ravanelli:
CL-MASR: A Continual Learning Benchmark for Multilingual ASR. CoRR abs/2310.16931 (2023) - 2022
- [c1]Michelle Xiao-Lin Foo, Luca Della Libera, Ilhan Aslan:
Papr Readr Bot: A Conversational Agent to Read Research Papers. CUI 2022: 39:1-39:4
2010 – 2019
- 2019
- [i1]Luca Della Libera, Vladimir Golkov, Yue Zhu, Arman Mielke, Daniel Cremers:
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods. CoRR abs/1910.14594 (2019)
Coauthor Index
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