Alessandro Davide Ialongo

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Gaussian Process

Top Venues

Publications

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
Evaluating Model-Based Planning and Planner Amortization for Continuous Control. ICLR (2022)
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
Evaluating model-based planning and planner amortization for continuous control. CoRR (2021)
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue
Iterative Amortized Policy Optimization. NeurIPS (2021)
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue
Iterative Amortized Policy Optimization. CoRR (2020)
Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models. ICML (2019)
Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models. CoRR (2019)
Alessandro Davide Ialongo, Mark van der Wilk, Carl Edward Rasmussen
Closed-form Inference and Prediction in Gaussian Process State-Space Models. CoRR (2018)
Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen
Non-Factorised Variational Inference in Dynamical Systems. CoRR (2018)
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, Leonard Wossnig
Quantum machine learning: a classical perspective. CoRR (2017)