Fabio Ramos

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 145

Top Venues

Publications

Jana Pavlasek, Joshua Jing Zhi Mah, Ruihan Xu, Odest Chadwicke Jenkins, Fabio Ramos
Stein Variational Belief Propagation for Multi-Robot Coordination. CoRR (2023)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. CoRR (2022)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Stein ICP for Uncertainty Estimation in Point Cloud Matching. IEEE Robotics Autom. Lett. 7 (2) (2022)
Tin Lai, Fabio Ramos
Adaptively Exploits Local Structure With Generalised Multi-Trees Motion Planning. IEEE Robotics Autom. Lett. 7 (2) (2022)
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
L4KDE: Learning for KinoDynamic Tree Expansion. CoRR (2022)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation. CoRR (2022)
Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. CoRR (2021)
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
Parallelised Diffeomorphic Sampling-based Motion Planning. CoRR (2021)
Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. Robotics: Science and Systems (2021)
Rika Antonova, Fabio Ramos, Rafael Possas, Dieter Fox
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym. CoRR (2021)
Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
Robot Learning from Randomized Simulations: A Review. CoRR (2021)
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. ICRA (2021)
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
Parallelised Diffeomorphic Sampling-based Motion Planning. CoRL (2021)
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
Fast Uncertainty Quantification for Deep Object Pose Estimation. ICRA (2021)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Stein ICP for Uncertainty Estimation in Point Cloud Matching. CoRR (2021)
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
Trajectory Generation in New Environments from Past Experiences. IROS (2021)
Weiming Zhi, Lionel Ott, Fabio Ramos
Probabilistic Trajectory Prediction with Structural Constraints. IROS (2021)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. IEEE Robotics Autom. Lett. 6 (1) (2021)
Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation. CoRR (2021)
Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
Learning ODEs via Diffeomorphisms for Fast and Robust Integration. CoRR (2021)
Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos
BORE: Bayesian Optimization by Density-Ratio Estimation. CoRR (2021)
Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos
BORE: Bayesian Optimization by Density-Ratio Estimation. ICML (2021)
Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos
Dual Online Stein Variational Inference for Control and Dynamics. CoRR (2021)
Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos
Dual Online Stein Variational Inference for Control and Dynamics. Robotics: Science and Systems (2021)
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. CoRR (2021)
Rafael Oliveira, Lionel Ott, Fabio Ramos
No-regret approximate inference via Bayesian optimisation. UAI (2021)
Tin Lai, Fabio Ramos
PlannerFlows: Learning Motion Samplers with Normalising Flows. IROS (2021)
Weiming Zhi, Lionel Ott, Fabio Ramos
Probabilistic Trajectory Prediction with Structural Constraints. CoRR (2021)
Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation. CoRL (2021)
Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
Fast Joint Space Model-Predictive Control for Reactive Manipulation. CoRR (2021)
Tin Lai, Fabio Ramos
Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph. CoRR (2021)
Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos
A User's Guide to Calibrating Robotics Simulators. CoRR (2020)
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. ICRA (2020)
Harrison Nguyen, Simon Luo, Fabio Ramos
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. PAKDD (2) (2020)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. CoRR (2020)
Philippe Morere, Fabio Ramos
Intrinsic Exploration as Multi-Objective RL. CoRR (2020)
Tin Lai, Fabio Ramos
Learning to Plan Optimally with Flow-based Motion Planner. CoRR (2020)
Carolyn Matl, Yashraj S. Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics. CoRR (2020)
Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos
Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement. IROS (2020)
Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos
Stein Variational Model Predictive Control. CoRR (2020)
Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos
A User's Guide to Calibrating Robotic Simulators. CoRL (2020)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Estimating Motion Uncertainty with Bayesian ICP. ICRA (2020)
Carolyn Matl, Yashraj S. Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics. CoRL (2020)
Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. UAI (2020)
Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. L4DC (2020)
Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA (2020)
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
DISCO: Double Likelihood-free Inference Stochastic Control. ICRA (2020)
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
Online Domain Adaptation for Occupancy Mapping. Robotics: Science and Systems (2020)
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. CoRR (2020)
Sebastian Haan, Fabio Ramos, Dietmar Müller
Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion. CoRR (2020)
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
Online Domain Adaptation for Occupancy Mapping. CoRR (2020)
Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis
Bayesian Local Sampling-Based Planning. IEEE Robotics Autom. Lett. 5 (2) (2020)
Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman
Stein Variational Model Predictive Control. CoRL (2020)
Philippe Morere, Gilad Francis, Tom Blau, Fabio Ramos
Reinforcement Learning with Probabilistically Complete Exploration. CoRR (2020)
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
DISCO: Double Likelihood-free Inference Stochastic Control. CoRR (2020)
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
Fast Uncertainty Quantification for Deep Object Pose Estimation. CoRR (2020)
Carolyn Matl, Yashraj S. Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox
Inferring the Material Properties of Granular Media for Robotic Tasks. CoRR (2020)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Estimating Motion Uncertainty with Bayesian ICP. CoRR (2020)
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. CoRR (2020)
Anthony Tompkins, Rafael Oliveira, Fabio Ramos
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. CoRR (2020)
Carolyn Matl, Yashraj S. Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox
Inferring the Material Properties of Granular Media for Robotic Tasks. ICRA (2020)
Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. CoRR (2020)
Gilad Francis, Lionel Ott, Fabio Ramos
Fast Stochastic Functional Path Planning in Occupancy Maps. ICRA (2019)
Harrison Nguyen, Simon Luo, Fabio Ramos
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. CoRR (2019)
Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. CoRR (2019)
Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos
Black Box Quantiles for Kernel Learning. AISTATS (2019)
Alexandre J. Oliveira, Gleice A. de Assis, Elaine R. Faria, Jefferson R. Souza, Kelen Cristiane Teixeira Vivaldini, Vitor Guizilini, Fabio Ramos, Caio César Teodoro Mendes, Denis F. Wolf
Analysis of nematodes in coffee crops at different altitudes using aerial images. EUSIPCO (2019)
Philippe Morere, Lionel Ott, Fabio Ramos
Learning to Plan Hierarchically From Curriculum. IEEE Robotics Autom. Lett. 4 (3) (2019)
Fabio Ramos, Rafael Carvalhaes Possas, Dieter Fox
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators. CoRR (2019)
Amir Dezfouli, Kristi Griffiths, Fabio Ramos, Peter Dayan, Bernard W. Balleine
Models that learn how humans learn: The case of decision-making and its disorders. PLoS Comput. Biol. 15 (6) (2019)
Tin Lai, Fabio Ramos, Gilad Francis
Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees. ICRA (2019)
Tin Lai, Weiming Zhi, Fabio Ramos
Occ-Traj120: Occupancy Maps with Associated Trajectories. CoRR (2019)
Kelvin Hsu, Fabio Ramos
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. CoRR (2019)
Weiming Zhi, Lionel Ott, Fabio Ramos
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. CoRR (2019)
Tom Blau, Lionel Ott, Fabio Ramos
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning. CoRR (2019)
Vitor Guizilini, Fabio Ramos
Variational Hilbert regression for terrain modeling and trajectory optimization. Int. J. Robotics Res. 38 (12-13) (2019)
Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis
Local Sampling-based Planning with Sequential Bayesian Updates. CoRR (2019)
Weiming Zhi, Lionel Ott, Fabio Ramos
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. CoRL (2019)
Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. CoRR (2019)
Kelvin Hsu, Fabio Ramos
Bayesian Deconditional Kernel Mean Embeddings. CoRR (2019)
Kelvin Hsu, Fabio Ramos
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. AISTATS (2019)
Philippe Morere, Lionel Ott, Fabio Ramos
Learning to Plan Hierarchically from Curriculum. CoRR (2019)
Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks. IEEE Robotics Autom. Lett. 4 (4) (2019)
Rafael Oliveira, Lionel Ott, Fabio Ramos
Bayesian optimisation under uncertain inputs. AISTATS (2019)
Rafael Oliveira, Lionel Ott, Fabio Ramos
Bayesian optimisation under uncertain inputs. CoRR (2019)
Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. ICRA (2019)
Fabio Ramos, Rafael Possas, Dieter Fox
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators. Robotics: Science and Systems (2019)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent. CoRR (2019)
Kelvin Hsu, Fabio Ramos
Bayesian Deconditional Kernel Mean Embeddings. ICML (2019)
Anthony Tompkins, Fabio Ramos
Periodic Kernel Approximation by Index Set Fourier Series Features. UAI (2019)
Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos
OCTNet: Trajectory Generation in New Environments from Past Experiences. CoRR (2019)
Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. ICRA (2019)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent. ICRA (2019)
Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos
Occupancy map building through Bayesian exploration. Int. J. Robotics Res. 38 (7) (2019)
Philippe Morere, Román Marchant, Fabio Ramos
Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation. IROS (2018)
Kelvin Hsu, Richard Nock, Fabio Ramos
Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds. ECML/PKDD (2) (2018)
Tin Lai, Fabio Ramos, Gilad Francis
Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees. CoRR (2018)
Ransalu Senanayake, Anthony Tompkins, Fabio Ramos
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. CoRL (2018)
Louis C. Tiao, Edwin V. Bonilla, Fabio Ramos
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference. CoRR (2018)
Vitor Guizilini, Fabio Ramos
Iterative Continuous Convolution for 3D Template Matching and Global Localization. AAAI (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fabio Ramos