Fabio Ramos

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 Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach CoRL 2024 Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following L4DC 2024 Stein Random Feature Regression UAI 2024 Stein Variational Ergodic Search RSS 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 Accelerated Policy Learning with Parallel Differentiable Simulation ICLR 2022 Adaptive Model Predictive Control by Learning Classifiers L4DC 2022 Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming CoRL 2022 Diffeomorphic Transforms for Generalised Imitation Learning L4DC 2022 Generalized Bayesian quadrature with spectral kernels UAI 2022 Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks ICML 2022 BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021 DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting RSS 2021 Dual Online Stein Variational Inference for Control and Dynamics RSS 2021 No-regret approximate inference via Bayesian optimisation UAI 2021 Parallelised Diffeomorphic Sampling-based Motion Planning CoRL 2021 STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation CoRL 2021 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020 A User’s Guide to Calibrating Robotic Simulators CoRL 2020 Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems L4DC 2020 Online Domain Adaptation for Occupancy Mapping RSS 2020 Stein Variational Model Predictive Control CoRL 2020 STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CoRL 2020 Bayesian Deconditional Kernel Mean Embeddings ICML 2019 Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019 Bayesian optimisation under uncertain inputs AISTATS 2019 BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019 Black Box Quantiles for Kernel Learning AISTATS 2019 Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction CoRL 2019 Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019 Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CoRL 2018 Bayesian RL for Goal-Only Rewards CoRL 2018 Egocentric Activity Recognition on a Budget CVPR 2018 Fast 3D Modeling with Approximated Convolutional Kernels CoRL 2018 Unpaired Learning of Dense Visual Depth Estimators for Urban Environments CoRL 2018 Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CoRL 2017 Learning to Reconstruct 3D Structures for Occupancy Mapping RSS 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