Quantum machine learning: a classical perspective. - Carlo Ciliberto; Mark Herbster; Alessandro Davide Ialongo; Massimiliano Pontil; Andrea Rocchetto; Simone Severini; Leonard Wossnig (CoRR, 2017)

Closed-form Inference and Prediction in Gaussian Process State-Space Models. - Alessandro Davide Ialongo; Mark van der Wilk; Carl Edward Rasmussen (CoRR, 2018)

Non-Factorised Variational Inference in Dynamical Systems. - Alessandro Davide Ialongo; Mark van der Wilk; James Hensman; Carl Edward Rasmussen (CoRR, 2018)

Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models. - Alessandro Davide Ialongo; Mark van der Wilk; James Hensman; Carl Edward Rasmussen (ICML, 2019)

Iterative Amortized Policy Optimization. - Joseph Marino; Alexandre Piché; Alessandro Davide Ialongo; Yisong Yue (NeurIPS, 2021)

Evaluating Model-Based Planning and Planner Amortization for Continuous Control. - Arunkumar Byravan; Leonard Hasenclever; Piotr Trochim; Mehdi Mirza; Alessandro Davide Ialongo; Yuval Tassa; Jost Tobias Springenberg; Abbas Abdolmaleki; Nicolas Heess; Josh Merel; Martin A. Riedmiller (ICLR, 2022)