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Ayman Boustati
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2020 – today
- 2023
- [c4]Ammar Abbas, Sri Karlapati, Bastian Schnell, Penny Karanasou, Marcel Granero Moya, Amith Nagaraj, Ayman Boustati, Nicole Peinelt, Alexis Moinet, Thomas Drugman:
eCat: An End-to-End Model for Multi-Speaker TTS & Many-to-Many Fine-Grained Prosody Transfer. INTERSPEECH 2023: 3387-3391 - [i6]Ammar Abbas, Sri Karlapati, Bastian Schnell, Penny Karanasou, Marcel Granero Moya, Amith Nagaraj, Ayman Boustati, Nicole Peinelt, Alexis Moinet, Thomas Drugman:
eCat: An End-to-End Model for Multi-Speaker TTS & Many-to-Many Fine-Grained Prosody Transfer. CoRR abs/2306.11327 (2023) - 2021
- [i5]Ayman Boustati, Hana Chockler, Daniel C. McNamee:
Transfer learning with causal counterfactual reasoning in Decision Transformers. CoRR abs/2110.14355 (2021) - 2020
- [c3]Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen:
Generalised Bayesian Filtering via Sequential Monte Carlo. NeurIPS 2020 - [c2]Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz:
VarGrad: A Low-Variance Gradient Estimator for Variational Inference. NeurIPS 2020 - [c1]Ayman Boustati, Sattar Vakili, James Hensman, S. T. John:
Amortized variance reduction for doubly stochastic objective. UAI 2020: 61-70 - [i4]Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen:
Generalized Bayesian Filtering via Sequential Monte Carlo. CoRR abs/2002.09998 (2020) - [i3]Ayman Boustati, Sattar Vakili, James Hensman, S. T. John:
Amortized variance reduction for doubly stochastic objectives. CoRR abs/2003.04125 (2020) - [i2]Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz:
VarGrad: A Low-Variance Gradient Estimator for Variational Inference. CoRR abs/2010.10436 (2020)
2010 – 2019
- 2019
- [i1]Ayman Boustati, Richard S. Savage:
Multi-task Learning in Deep Gaussian Processes with Multi-kernel Layers. CoRR abs/1905.12407 (2019)
Coauthor Index
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