Fabio Muratore

18 papers A* 2B 1Misc 2Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Novel Pivoted Cholesky Decompositions for Efficient Gaussian Process Inference. CoRR Filip de Roos, Fabio Muratore
2025	J	`jnl`	sbi reloaded: a toolkit for simulation-based inference workflows. J. Open Source Softw. Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke
2024	J	`jnl`	sbi reloaded: a toolkit for simulation-based inference workflows. CoRR Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke
2023	A*	`conf`	Pseudo-Likelihood Inference. NeurIPS Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan R. Peters
2023	J	`jnl`	Pseudo-Likelihood Inference. CoRR Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters
2022	J	`jnl`	Robot Learning From Randomized Simulations: A Review. Frontiers Robotics AI Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2021	B	`conf`	An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. IJCNN João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters
2021	J	`jnl`	An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. CoRR João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters
2021	J	`jnl`	Assessing Transferability From Simulation to Reality for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Fabio Muratore, Michael Gienger, Jan Peters
2021	J	`jnl`	Data-Efficient Domain Randomization With Bayesian Optimization. IEEE Robotics Autom. Lett. Fabio Muratore, Christian Eilers, Michael Gienger, Jan Peters
2021	J	`jnl`	Distilled Domain Randomization. CoRR Julien Brosseit, Benedikt Hahner, Fabio Muratore, Michael Gienger, Jan Peters
2021	Misc	`conf`	Neural Posterior Domain Randomization. CoRL Fabio Muratore, Theo Gruner, Florian Wiese, Boris Belousov, Michael Gienger, Jan Peters
2021	J	`jnl`	Robot Learning from Randomized Simulations: A Review. CoRR Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2020	J	`jnl`	Bayesian Domain Randomization for Sim-to-Real Transfer. CoRR Fabio Muratore, Christian Eilers, Michael Gienger, Jan Peters
2020	A*	`conf`	Underactuated Waypoint Trajectory Optimization for Light Painting Photography. ICRA Christian Eilers, Jonas Eschmann, Robin Menzenbach, Boris Belousov, Fabio Muratore, Jan Peters
2020	J	`jnl`	Underactuated Waypoint Trajectory Optimization for Light Painting Photography. CoRR Christian Eilers, Jonas Eschmann, Robin Menzenbach, Boris Belousov, Fabio Muratore, Jan Peters
2019	J	`jnl`	Assessing Transferability from Simulation to Reality for Reinforcement Learning. CoRR Fabio Muratore, Michael Gienger, Jan Peters
2018	Misc	`conf`	Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment. CoRL Fabio Muratore, Felix Treede, Michael Gienger, Jan Peters