← Authors

Fabio Ramos

47 papers · 2007–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (18) 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (18) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (13) πŸ—ƒοΈ Keyword Collector (176) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (47) πŸ”₯ Unstoppable (9)

Conferences

CORL (14) RSS (13) UAI (5) AISTATS (4) L4DC (4) ICML (3) ICLR (2) CVPR (1) IJCAI (1)

Top co-authors

Dieter Fox (13) Rafael Oliveira (7) Lionel Ott (6) Weiming Zhi (4) Ransalu Senanayake (4) Byron Boots (4) Anthony Tompkins (4) Tucker Hermans (3) Jie Xu (3) Edwin V. Bonilla (3)

Keywords

bayesian inference (10) gaussian process (7) model predictive control (4) variational inference (4) occupancy mapping (4) sim-to-real transfer (3) bayesian optimization (3) upper confidence bound (3) bayesian optimisation (3) numerical integration (3) kernel methods (3) stochastic process (2) reinforcement learning (2) diffeomorphic mapping (2) kernel mean embedding (2) domain adaptation (2) likelihood-free inference (2) motion planning (2) kernel approximation (2) kernel learning (2)

Papers

Differentiable GPU-Parallelized Task and Motion Planning RSS 2025
HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation ICLR 2025
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries RSS 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Stein Random Feature Regression UAI 2024
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following L4DC 2024
Stein Variational Ergodic Search RSS 2024
Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach CORL 2024
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality RSS 2023
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference CORL 2023
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks ICML 2022
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming CORL 2022
Accelerated Policy Learning with Parallel Differentiable Simulation ICLR 2022
Adaptive Model Predictive Control by Learning Classifiers L4DC 2022
Diffeomorphic Transforms for Generalised Imitation Learning L4DC 2022
Generalized Bayesian quadrature with spectral kernels UAI 2022
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting RSS 2021
Parallelised Diffeomorphic Sampling-based Motion Planning CORL 2021
BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation CORL 2021
Dual Online Stein Variational Inference for Control and Dynamics RSS 2021
No-regret approximate inference via Bayesian optimisation UAI 2021
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CORL 2020
Online Domain Adaptation for Occupancy Mapping RSS 2020
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems L4DC 2020
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020
Stein Variational Model Predictive Control CORL 2020
A User’s Guide to Calibrating Robotic Simulators CORL 2020
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019
Bayesian Deconditional Kernel Mean Embeddings ICML 2019
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction CORL 2019
Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019
Bayesian optimisation under uncertain inputs AISTATS 2019
Black Box Quantiles for Kernel Learning AISTATS 2019
Egocentric Activity Recognition on a Budget CVPR 2018
Fast 3D Modeling with Approximated Convolutional Kernels CORL 2018
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CORL 2018
Bayesian RL for Goal-Only Rewards CORL 2018
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments CORL 2018
Learning to Reconstruct 3D Structures for Occupancy Mapping RSS 2017
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CORL 2017
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent RSS 2015
Bayesian Fusion for Multi-Modal Aerial Images RSS 2013
Bayesian Joint Inversions for the Exploration of Earth Resources IJCAI 2013
Laser and Vision Based Outdoor Object Mapping RSS 2008
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching RSS 2007