Fabio Muratore

18 papers A* 2B 1Misc 2Journal 13
YearRankTypeTitle / 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