Fabio Ramos
47 papers · 2007–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π¬
Deep Specialist
(18)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π€
Dynamic Duo
(13)
ποΈ
Keyword Collector
(176)
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(47)
π₯
Unstoppable
(9)
Conferences
CORL (14)
RSS (13)
UAI (5)
AISTATS (4)
L4DC (4)
ICML (3)
ICLR (2)
CVPR (1)
IJCAI (1)
Top co-authors
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 Userβs 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