Multi-task Learning in Deep Gaussian Processes with Multi-kernel Layers. - Ayman Boustati; Richard S. Savage (CoRR, 2019)

Generalised Bayesian Filtering via Sequential Monte Carlo. - Ayman Boustati; Ömer Deniz Akyildiz; Theodoros Damoulas; Adam M. Johansen (NeurIPS, 2020)

VarGrad: A Low-Variance Gradient Estimator for Variational Inference. - Lorenz Richter; Ayman Boustati; Nikolas Nüsken; Francisco J. R. Ruiz; Ömer Deniz Akyildiz (NeurIPS, 2020)

Amortized variance reduction for doubly stochastic objective. - Ayman Boustati; Sattar Vakili; James Hensman; S. T. John (UAI, 2020)

Generalized Bayesian Filtering via Sequential Monte Carlo. - Ayman Boustati; Ömer Deniz Akyildiz; Theodoros Damoulas; Adam M. Johansen (CoRR, 2020)

Amortized variance reduction for doubly stochastic objectives. - Ayman Boustati; Sattar Vakili; James Hensman; S. T. John (CoRR, 2020)

Transfer learning with causal counterfactual reasoning in Decision Transformers. - Ayman Boustati; Hana Chockler; Daniel C. McNamee (CoRR, 2021)

eCat: An End-to-End Model for Multi-Speaker TTS & Many-to-Many Fine-Grained Prosody Transfer. - Ammar Abbas; Sri Karlapati; Bastian Schnell; Penny Karanasou; Marcel Granero Moya; Amith Nagaraj; Ayman Boustati; Nicole Peinelt; Alexis Moinet; Thomas Drugman (INTERSPEECH, 2023)