2013

1. •Roman Marchant, Fabio Ramos, “Bayesian optimisation for informative continuous path planning”. In NIPS, Workshop on Bayesian optimisation, 2013. [pdf]
   
   

2. •Marcos Gerardo-Castro, Thierry Peynot, Fabio Ramos. “Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces”. In Field and Service Robotics Conference (FSR), 2013. [pdf] 
   
   

3. •Lionel Ott, Fabio Ramos. “Multi-Sensor Clustering using Layered Affinity Propagation”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013. [pdf]
   
   

4. •Alistair Reid, Fabio Ramos, “Bayesian Fusion for Multi-Modal Aerial Images”, In Robotics: Science and Systems (RSS), 2013. [pdf]
   

1. •Alistair Reid, Simon O'Callaghan, Edwin Bonilla, Lachlan McCalman, Tim Rawling, Fabio Ramos, “Bayesian Joint Inversions for the Exploration of Earth Resources”, In International Joint Conference on Artificial Intelligence (IJCAI), 2013. [pdf]
   
   

2. •Lachlan McCalman, Simon O'Callaghan, Fabio Ramos, “Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models”, In IEEE International Conference on Robotics and Automation (ICRA), 2013. [pdf]
   
   

3. •Vitor Guizilini, Fabio Ramos, “Online Self-Supervised Segmentation of Dynamic Objects”, In IEEE International Conference on Robotics and Automation (ICRA), 2013. [pdf]
   
   

4. •Vitor Guizilini, Fabio Ramos, “Semi-Parametric Learning for Visual Odometry”, International Journal of Robotics Research (IJRR), vol. 32, no. 5, pp 526–546, 2013. [pdf]
   

2012

1. •Simon O’Callaghan, Fabio Ramos, “Gaussian process occupancy maps”. International Journal of Robotics Research (IJRR), vol. 31, no. 1, pp 42–62, 2012. [pdf]
   

1. •Zuolei Sun, Jopp van de Ven, Fabio Ramos, Xuchu Mao, Hugh Durrant-Whyte. “Inferring Laser Scan Matching Uncertainty with Conditional Random Fields”. Journal of Robotics and Autonomous Systems (RAS), vol. 60, no. 1, pp. 83–94, 2012. [pdf]
   

1. •Fabio Ramos, Ben Upcroft, Suresh Kumar, Hugh Durrant-Whyte. “A Bayesian approach for place recognition”. Journal of Robotics and Autonomous Systems (RAS), vol. 60, no. 4, pp 487–497, 2012. [pdf]
   

1. •Sahill Garg, Amarjeet Singh, Fabio Ramos, “Learning Non-Stationary Space-Time Models for Environmental Monitoring”. In Association for the Advancements of Artificial Intelligence (AAAI), 2012. [pdf]
   

1. •Sahill Garg, Amarjeet Singh, Fabio Ramos. “Efficient Space-Time Modeling For Informative Sensing”. In Sixth International Workshop on Knowledge Discovery from Sensor Data, 2012.
   

1. •Lionel Ott, Fabio Ramos, “Real-Time Clustering for Long-Term Autonomy”. In The 13th International Symposium on Experimental Robotics (ISER), 2012. [pdf]
   

1. •Roman Marchant, Fabio Ramos. “Bayesian Optimisation for Intelligent Environmental Monitoring”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012. [pdf]
   

1. •Vitor Guizilini, Fabio Ramos. “Semi-parametric Models for Visual Odometry”. In IEEE Inter- national Conference on Robotics and Automation (ICRA), 2012. [pdf]
   

1. •Lionel Ott, Fabio Ramos. “Unsupervised Incremental Learning for Long-Term Autonomy”. In IEEE International Conference on Robotics and Automation (ICRA), 2012. [pdf]
   

1. •Hang Zhou, Peter Hatherly, Sildomar Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding, “Automatic Rock Recognition from Drilling Performance Data”. In IEEE International Conference on Robotics and Automation (ICRA), 2012. [pdf]

2011

1. •Karl Granstrom, Thomas Schon, Juan Nieto, Fabio Ramos. “Learning to close loops from range data”. International Journal of Robotics Research (IJRR), vol. 30, no 14, pp 1728–1754, 2011. [pdf]
   

1. •Bertrand Douillard, Dieter Fox, Fabio Ramos, Hugh Durrant-Whyte. “Classification and semantic mapping of urban environments”, International Journal of Robotics Research (IJRR), vol. 30, no. 1, pp. 5–32, 2011. [pdf]
   

1. •Jopp van de Ven, Fabio Ramos. “Distributed Anytime MAP Inference”. In Uncertainty in Artificial Intelligence (UAI), 2011. [pdf]
   

1. •Simon O’Callaghan, Fabio Ramos. “Continuous Occupancy Mapping with Integral Kernels”. In Association for the Advancements of Artificial Intelligence (AAAI), 2011. [pdf]
   

1. •Arman Melkumyan, Fabio Ramos. “Multi-Kernel Gaussian Processes”. In International Joint Conference on Artificial Intelligence (IJCAI), 2011. [pdf]
   

1. •Sildomar Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly. “Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining”. In International Joint Conference on Artificial Intelligence (IJCAI), 2011. [pdf]
   

1. •Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh Durrant-Whyte. “Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling”. In IEEE International Conference on Robotics and Automation (ICRA), 2011. [pdf]
   

1. •Hang Zhou, Peter Hatherly, Fabio Ramos, Eric Nettleton. “An Adaptive Data Driven Model for Characterizing Rock Properties from Drilling Data”. In IEEE International Conference on Robotics and Automation (ICRA), 2011. [pdf]
   

1. •Vitor Guizilini, Fabio Ramos. “Visual Odometry Learning for Unmanned Aerial Vehicles”. In IEEE International Conference on Robotics and Automation (ICRA), 2011. [pdf]
   

1. •Francisco Zubizarreta, Fabio Ramos. “Multi-Task Learning of System Dynamics with Maximum Information Gain”. In IEEE International Conference on Robotics and Automation (ICRA), 2011. [pdf]
   

1. •Alistair Reid, Fabio Ramos, Salah Sukkarieh. “Multi-Class Classification of Vegetation in Natural Environments using an Unmanned Aerial System”. In IEEE International Conference on Robotics and Automation (ICRA), 2011. [pdf]
   

1. •Simon O’Callaghan, Surya Singh, Allen Alempijevic, Fabio Ramos. “Learning Navigational Maps by Observing Human Motion Patterns”. In IEEE International Conference on Robotics and Automation (ICRA), 2011. [pdf]

2015

1. •Kai Zhan, Steven Faux, Fabio Ramos. “Multi-scale Conditional Random Fields for First-Person Activity Recognition on Elder and Patient Assistance”. In Journal of Pervasive and Mobile Computing, vol. 16, Part B, pp. 251–267, 2015. [pdf]
   

1. •Fabio Ramos, Lionel Ott, “Hilbert maps: scalable continuous occupacy mapping with stochastic gradient descent”. In Robotics: Science and Systems (RSS), 2015. [pdf]
   
   

2. •Jefferson Souza, Caio Mendes, Vitor Guizilini, Kelen Cristiane Teixeira Vivaldini, Adimara Colturato, Fabio Ramos, Denis Wolf. “Automatic Detection of Ceratocystis Wilt in Eucalyptus Crops from Aerial Images”. In IEEE International Conference on Robotics and Automation (ICRA), 2015. [pdf]
   

1. •Marcos Gerardo-Castro, Thierry Peynot, Rob Fitch, Fabio Ramos. “Non-Parametric Consistency Test for Multiple-Sensing-Modality Data Fusion”. In International Conference on Information Fusion, 2015. [pdf] 
   
   

2. •Vitor Guizilini, Fabio Ramos, “A Nonparametric Online Platform for Air Quality Prediction”, In Association for the Advancements of Artificial Intelligence (AAAI), 2015. [pdf]
   
   

3. •Sachinthaka Abeywardana, Fabio Ramos, “Nonparametric Variational Bayes Quantile Regression”, In Association for the Advancements of Artificial Intelligence (AAAI), 2015. [pdf]
   

1. •Vitor Guizilini, Fabio Ramos, “Online self-supervised learning for dynamic object segmentation”, In International Journal of Robotics Research (IJRR), vol. 34, no. 4-5, pp 559–581, 2015. [pdf]
   
   

2016

1. •Fabio Ramos, Lionel Ott. “Hilbert maps: scalable continuous occupacy mapping with stochastic gradient descent (extended version)”, In International Journal of Robotics Research (IJRR), vol. 35, no. 14, pp 1717 – 1730, 2016. [pdf]
   
   

2. •Ransalu Senanayake, Lionel Ott, Simon O'Callaghan, Fabio Ramos. “Spatio–Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments”. In Advances in Neural Information Processing Systems (NIPS), 2016. [pdf]
   
   

3. •Rafael Oliveira, Lionel Ott, Fabio Ramos. “Active Perception for Modelling Energy Consumption in Off-Road Navigation”. In Australasian Conference on Robotics and Automation (ACRA), 2016. [pdf]
   

1. •Alberto Hata, Fabio Ramos, Denis Wolf. “Particle Filter Localization on Continuous Occupancy Maps”, In The 15th International Symposium on Experimental Robotics (ISER), 2016. [pdf][video]
   
   

2. •Darren Shen, Fabio Ramos. “Kernel Embeddings of Longitudinal Data”. In Advances in Artificial Intelligence: 29th Australasian Joint Conference (AI 2016), 2016. [pdf]
   

1. •Charika de Alvis, Lionel Ott, Fabio Ramos. “Urban Scene Segmentation With Laser-Constrained CRFs”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. [pdf]
   
   

2. •Vitor Guizilini, Fabio Ramos. “Large-Scale 3D Scene Reconstruction with Hilbert Maps”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. [pdf][video]
   
   

3. •Thushan Ganegedara, Lionel Ott and Fabio Ramos. “Online Adaptation of Deep Architectures with Reinforcement Learning”. In European Conference on Artificial Intelligence (ECAI), 2016. [pdf]
   

1. •Markus Schneider,  Wolfgang Ertel, Fabio Ramos. “Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection”. Machine Learning, 2016. [pdf]
   
   

2. •Danilo Habermann, Carlos Vido, Fernando Osorio and Fabio Ramos. “Road Junction Detection from 3D Point Clouds”. In International Joint Conference on Neural Networks (IJCNN), 2016. [pdf]
   

1. •Ransalu Senanayake, Simon O'Callaghan and Fabio Ramos. “Predicting Spatio-Temporal Propagation of Seasonal Influenza using Variational Gaussian Process Regression”. In Association for the Advancement of Artificial Intelligence (AAAI), 2016. [pdf]
   

1. •Carlos Vido, Fabio Ramos. “From Grids to Continuous Occupancy Maps through Area Kernels”. In IEEE International Conference on Robotics and Automation (ICRA), 2016. [pdf]
   

1. •Kelen C. T. Vivaldini, Vitor Guizilini, Matheus Oliveira, Thiago H. Martinelli, Denis Wolf , Fabio Ramos. “Route planning for active classification with UAVs”. In IEEE International Conference on Robotics and Automation (ICRA), 2016. [pdf]
   
   

2. •Alex Bewley, Lionel Ott, Fabio Ramos, Ben Upcroft. “ALExTRAC: Affinity Learning by Exploring Temporal Reinforcement within Association Chains”. In IEEE International Conference on Robotics and Automation (ICRA), 2016. [pdf]
   

2017

1. •Ransalu Senanayake, Fabio Ramos. “Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping”. In Conference on Robotics Learning (CoRL), 2017. [pdf]
   
   

2. •Vitor Guizilini, Fabio Ramos. “Variational Hilbert Regression with Applications to Terrain Modeling”. In International Symposium on Robotics Research (ISRR), 2017. [pdf]
   
   

3. •Gilad Francis, Lionel Ott, Fabio Ramos. “Functional Path Optimisation for Exploration in Continuous Occupancy Maps”. In International Symposium on Robotics Research (ISRR), 2017. [pdf]
   
   

4. •Rafael Oliveira, Lionel Ott, Fabio Ramos. “Bayesian Optimisation for Safe Navigation under Localisation Uncertainty”. In International Symposium on Robotics Research (ISRR), 2017. [pdf]
   
   

5. •Roberto Inoue, Vitor Guizilini, Marco Henrique Terra, Fabio Ramos. “Markovian Jump Linear Systems-based filtering for Visual and GPS Aided Inertial Navigation System”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017. [pdf]
   

1. •Vitor Guizilini, Fabio Ramos. “Learning to Reconstruct 3D Structures for Occupancy Mapping ”, In Robotics: Science and Systems (RSS), 2017. (Best Paper Finalist) [pdf]
   
   

2. •Gilad Francis, Lionel Ott, Fabio Ramos. “Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps”. In IEEE International Conference on Robotics and Automation (ICRA), 2017. [pdf]
   
   

3. •Philippe Morere, Roman Marchant, Fabio Ramos. “Sequential Bayesian Optimisation for POMDPs and Environment Monitoring with UAVs”. In IEEE International Conference on Robotics and Automation (ICRA), 2017. [pdf]
   
   

4. •Charika De Alvis, Lionel Ott, Fabio Ramos. “Online Learning for Scene Segmentation With Laser-Constrained CRFs”. In IEEE International Conference on Robotics and Automation (ICRA), 2017. [pdf]
   

1. •Ransalu Senanayake, Simon O'Callaghan, Fabio Ramos. “Learning Highly Dynamic Environments with Stochastic Variational Inference”. In IEEE International Conference on Robotics and Automation (ICRA), 2017. [pdf] [video]
   
   

2. •Vitor Guizilini, Fabio Ramos. “Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps”. In Association for the Advancements of Artificial Intelligence (AAAI), 2017. [pdf]
   

1. •Alberto Hata, Fabio Ramos, Denis Wolf. “Monte Carlo Localization on Gaussian Process Occupancy Maps for Urban Environments”. In IEEE Transactions on Intelligent Transportation Systems (ITS), vol. PP, no. 99, pp 1–10, 2017. [pdf]
   

2018

1. •Amir Dezfouli, Richard Morris, Fabio Ramos, Peter Dayan, Bernard Balleine. “Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models”. In Neural Information Processing Systems (NeurIPS), 2018. [pdf] [supplemental]
   
   

2. •Kelvin Hsu, Richard Nock, Fabio Ramos. “Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds”. In European Conference on Machine Learning (ECML), 2018. Best Student Paper Award. [pdf]
   
   

3. •Philippe Morere, Fabio Ramos. “Bayesian RL for Goal-Only Rewards”. In Conference on Robotics Learning (CoRL), 2018. [pdf]
   
   

4. •Vitor Guizilini, Fabio Ramos. “Unpaired Learning of Dense Visual Depth Estimators for Urban Environments”. In Conference on Robotics Learning (CoRL), 2018. [pdf]
   
   

5. •Vitor Guizilini, Fabio Ramos. “Fast 3D Modeling with Approximated Convolutional Kernels”. In Conference on Robotics Learning (CoRL), 2018. [pdf]
   

1. •Anthony Tompkins, Ransalu Senanayake, Fabio Ramos. “Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments”. In Conference on Robotics Learning (CoRL), 2018. [pdf]
   
   

2. •Ransalu Senanayake, Fabio Ramos. “Directional Grid Maps for Angular Motion Modeling”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. [pdf]
   
   

3. •Philippe Morere, Roman Marchant, Fabio Ramos. “Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. [pdf]
   
   

4. •Tom Blau, Lionel Ott, Fabio Ramos. “Improving Reinforcement Learning Pre-Training with Variational Dropout”. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. [pdf]
   

1. •Kelen Vivaldini, Thiago Martinelli, Vitor Guizilini, Jefferson Souza, Matheus Oliveira, Fabio Ramos, Denis Wolf. “UAV Route Planning for Active Disease Classification”. In Autonomous Robots, 2018. [pdf]
   
   

2. •Vitor Guizilini, Fabio Ramos. “Learning to Reconstruct 3D Structures for Occupancy Mapping from Depth and Color Information”. In International Journal of Robotics Research (IJRR), 2018. [pdf]
   
   

3. •Vitor Guizilini, Fabio Ramos. “Towards Real-Time 3D Continuous Occupancy Mapping using Hilbert Maps”. In International Journal of Robotics Research (IJRR), 2018. [pdf]
   
   

4. •Rafael Carvalhaes Possas, Sheila Carceres, Fabio Ramos. “Egocentric Activity Recognition on a Budget”. In Computer Vision and Pattern Recognition (CVPR), 2018. [pdf]
   
   

5. •Anthony Tompkins, Fabio Ramos. “Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling”. In Association for Advancements in Artificial Intelligence (AAAI), 2018. [pdf]
   

1. •Ransalu Senanayake, Fabio Ramos. “Building Continuous Occupancy Maps with Moving Robots”. In Association for Advancements in Artificial Intelligence (AAAI), 2018. [pdf]
   
   

2. •Vitor Guizilini, Fabio Ramos. “Iterative Continuous Convolution for 3D Template Matching and Global Localization”. In Association for Advancements in Artificial Intelligence (AAAI), 2018. [pdf]
   
   

3. •Rafael Oliveira, Lionel Ott, Fabio Ramos. “Learning to Race through Coordinate Descent Bayesian Optimisation”. In IEEE International Conference on Robotics and Automation (ICRA), 2018. [pdf]

2019

1. •Rafael Oliveira, Lionel Ott, Fabio Ramos. “Bayesian optimisation under uncertain inputs”. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. [coming]
   
   

2. •Kelvin Hsu, Fabio Ramos. “Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference”. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. [coming]
   

1. •Anthony Tompkins, Philippe Morere, Ransalu Senanayake, Fabio Ramos. “Black Box Quantiles for Kernel Learning”. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. [coming]
   

Older publications available here

Older selected publications

1. •Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh Durrant-Whyte. “A mine on its own”. In IEEE Robotics & Automation Magazine, 2010. [pdf]
   

1. •Fabio Ramos, Suresh Kumar, Ben Upcroft, Hugh Durrant-Whyte. “A natural feature representation for unstructured environments”. In IEEE Transactions on Robotics, 2008. [pdf]
   

1. •Fabio Ramos, Dieter Fox, Hugh Durrant-Whyte. “CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching”. In Robotics Science and Systems, 2007. [pdf]
   

1. •Fabio Ramos, Fabio Cozman. “Anytime anyspace probabilistic inference”. In International Journal of Approximate Reasoning (IJAR), 2005. [pdf]