Ayman Boustati

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Doubly Stochastic

Top Venues

Publications

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 (2023)
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)
Ayman Boustati, Hana Chockler, Daniel C. McNamee
Transfer learning with causal counterfactual reasoning in Decision Transformers. CoRR (2021)
Ayman Boustati, Sattar Vakili, James Hensman, S. T. John
Amortized variance reduction for doubly stochastic objectives. CoRR (2020)
Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz
VarGrad: A Low-Variance Gradient Estimator for Variational Inference. NeurIPS (2020)
Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen
Generalised Bayesian Filtering via Sequential Monte Carlo. NeurIPS (2020)
Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz
VarGrad: A Low-Variance Gradient Estimator for Variational Inference. CoRR (2020)
Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen
Generalized Bayesian Filtering via Sequential Monte Carlo. CoRR (2020)
Ayman Boustati, Sattar Vakili, James Hensman, S. T. John
Amortized variance reduction for doubly stochastic objective. UAI (2020)
Ayman Boustati, Richard S. Savage
Multi-task Learning in Deep Gaussian Processes with Multi-kernel Layers. CoRR (2019)