Michael Burke

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 54

Top Topics

Sequential Monte Carlo

Top Venues

IEEE Robotics Autom. Lett.

Publications

Zhongliang Jiang, Yuan Bi, Mingchuan Zhou, Ying Hu, Michael Burke, Nassir Navab
Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations. Int. J. Robotics Res. 43 (7) (2024)
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
Generating robotic elliptical excisions with human-like tool-tissue interactions. ICRA (2024)
Bryce Ferenczi, Michael Burke, Tom Drummond
MotionPerceiver: Real-Time Occupancy Forecasting for Embedded Systems. IEEE Robotics Autom. Lett. 9 (3) (2024)
Boxuan Zhang, Lindsay Kleeman, Michael Burke
Rendering stable features improves sampling-based localisation with Neural radiance fields. CoRR (2023)
Zhongliang Jiang, Yuan Bi, Mingchuan Zhou, Ying Hu, Michael Burke, Nassir Navab
Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations. CoRR (2023)
Michael Burke, Mohamed Younis
Humidity Estimation Using WiFi Channel State Information. LCN (2023)
Emma Perkins, Chiranjibi Sitaula, Michael Burke, Faezeh Marzbanrad
Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation. IEEE Trans. Intell. Veh. 8 (2) (2023)
Bryce Ferenczi, Michael Burke, Tom Drummond
Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems. CoRR (2023)
Haoyang Jiang, Elizabeth A. Croft, Michael Burke
Social Cue Analysis using Transfer Entropy. CoRR (2023)
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs using the Udwadia-Kalaba Method. ICRA (2023)
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
Generating robotic elliptical excisions with human-like tool-tissue interactions. CoRR (2023)
Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Auton. Robots 47 (6) (2023)
Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Pamela Carreno, Dana Kulic, Michael Burke
Adapting Neural Models with Sequential Monte Carlo Dropout. CoRL (2022)
Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. L4DC (2022)
Pamela Carreno-Medrano, Dana Kulic, Michael Burke
Adapting Neural Models with Sequential Monte Carlo Dropout. CoRR (2022)
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method. CoRR (2022)
Michael Burke, Subramanian Ramamoorthy
Learning data association without data association: An EM approach to neural assignment prediction. CoRR (2021)
Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales
Vision-based system identification and 3D keypoint discovery using dynamics constraints. CoRR (2021)
Michael Burke, Kartic Subr, Subramanian Ramamoorthy
Action Sequencing Using Visual Permutations. IEEE Robotics Autom. Lett. 6 (2) (2021)
Miguel Jaques, Michael Burke, Timothy M. Hospedales
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. CVPR (2021)
Todor Davchev, Michael Burke, Subramanian Ramamoorthy
Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes. IEEE Robotics Autom. Lett. 6 (2) (2021)
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. ICRA (2020)
Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
Residual Learning from Demonstration. CoRR (2020)
Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
Vid2Param: Modeling of Dynamics Parameters From Video. IEEE Robotics Autom. Lett. 5 (2) (2020)
Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman
Black-Box Saliency Map Generation Using Bayesian Optimisation. IJCNN (2020)
Michael Burke, Kartic Subr, Subramanian Ramamoorthy
Action sequencing using visual permutations. CoRR (2020)
Tatiana Lopez-Guevara, Michael Burke, Nicholas K. Taylor, Kartic Subr
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. CoRR (2020)
Miguel Jaques, Michael Burke, Timothy M. Hospedales
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. ICLR (2020)
Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke
Bias Remediation in Driver Drowsiness Detection Systems Using Generative Adversarial Networks. IEEE Access 8 (2020)
Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR (2020)
Miguel Jaques, Michael Burke, Timothy M. Hospedales
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces. CoRR (2020)
Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
Composing Diverse Policies for Temporally Extended Tasks. IEEE Robotics Autom. Lett. 5 (2) (2020)
Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". IEEE Robotics Autom. Lett. 5 (2) (2020)
Ditebogo Masha, Michael Burke
Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification. SACAIR (2020)
Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman
Black-Box Saliency Map Generation Using Bayesian Optimisation. CoRR (2020)
Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy
From explanation to synthesis: Compositional program induction for learning from demonstration. CoRR (2019)
Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRL (2019)
Miguel Jaques, Michael Burke, Timothy M. Hospedales
Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video. CoRR (2019)
Michael Burke, Yordan Hristov, Subramanian Ramamoorthy
Hybrid system identification using switching density networks. CoRL (2019)
Michael Burke, Yordan Hristov, Subramanian Ramamoorthy
Hybrid system identification using switching density networks. CoRR (2019)
Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy
From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration. Robotics: Science and Systems (2019)
Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis. CoRR (2019)
Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
Vid2Param: Online system identification from video for robotics applications. CoRR (2019)
Todor Davchev, Michael Burke, Subramanian Ramamoorthy
Learning Modular Representations for Long-Term Multi-Agent Motion Predictions. CoRR (2019)
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. CoRR (2019)
Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
Composing Diverse Policies for Temporally Extended Tasks. CoRR (2019)
Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms. CoRR (2019)
Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke
Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks. CoRR (2019)
Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRR (2019)
Michael Burke
User-driven mobile robot storyboarding: Learning image interest and saliency from pairwise image comparisons. CoRR (2017)
Michael Burke
A generative Bézier curve model for surf-zone tracking in coastal image sequences. AFRICON (2017)
Michael Burke, Kendall Dennis, Amir Lerman, Gurpreet Sandhu, Federico Franchi, Mark Benscoter, Martin Rodriguez-Porcel
F-FDG for the detection of metabolically active atherosclerotic plaque. MeMeA (2017)
Prasenjit Mukherjee, Jörg Bentzien, Todd Bosanac, Wang Mao, Michael Burke, Ingo Muegge
Kinase Crystal Miner: A Powerful Approach to Repurposing 3D Hinge Binding Fragments and Its Application to Finding Novel Bruton Tyrosine Kinase Inhibitors. J. Chem. Inf. Model. 57 (9) (2017)
Michael Burke, Joan Lasenby
Pantomimic Gestures for Human-Robot Interaction. IEEE Trans. Robotics 31 (5) (2015)
Michael Burke, Joan Lasenby
Single camera pose estimation using Bayesian filtering and Kinect motion priors. CoRR (2014)
Michael Burke, Joan Lasenby
Fast Upper Body Joint Tracking Using Kinect Pose Priors. AMDO (2014)
Michael Burke, Joan Lasenby
Multilinear function factorisation for time series feature extraction. DSP (2013)
Michael Burke
Path-following control of a velocity constrained tracked vehicle incorporating adaptive slip estimation. ICRA (2012)
Michael Burke, Neil C. Audsley
Distributed Fault-Tolerant Avionic Systems - A Real-Time Perspective CoRR (2010)
Michael Burke, Kristi Jean, Cheryl Brown, Rick Barrett, Carrie Leopold
Creating Nanotechnicians for the 21st Century Workplace. NanoNet (2009)
Oliver Stock, Brigitte Röder, Michael Burke, Siegfried Bien, Frank Rösler
Cortical Activation Patterns during Long-term Memory Retrieval of Visually or Haptically Encoded Objects and Locations. J. Cogn. Neurosci. 21 (1) (2009)
Kerstin Jost, Patrick Khader, Michael Burke, Siegfried Bien, Frank Rösler
Dissociating the solution processes of small, large, and zero multiplications by means of fMRI. NeuroImage 46 (1) (2009)
Aoife Cahill, Michael Burke, Ruth O'Donovan, Stefan Riezler, Josef van Genabith, Andy Way
Wide-Coverage Deep Statistical Parsing Using Automatic Dependency Structure Annotation. Comput. Linguistics 34 (1) (2008)
Patrick Khader, Kathrin Knoth, Michael Burke, Charan Ranganath, Siegfried Bien, Frank Rösler
Topography and Dynamics of Associative Long-term Memory Retrieval in Humans. J. Cogn. Neurosci. 19 (3) (2007)
Patrick Khader, Michael Burke, Siegfried Bien, Charan Ranganath, Frank Rösler
Content-specific activation during associative long-term memory retrieval. NeuroImage 27 (4) (2005)
Ruth O'Donovan, Michael Burke, Aoife Cahill, Josef van Genabith, Andy Way
Large-Scale Induction and Evaluation of Lexical Resources from the Penn-II and Penn-III Treebanks. Comput. Linguistics 31 (3) (2005)
Gareth J. F. Jones, Michael Burke, John Judge, Anna Khasin, Adenike M. Lam-Adesina, Joachim Wagner
Dublin City University at CLEF 2004: Experiments in Monolingual, Bilingual and Multilingual Retrieval. CLEF (2004)
Ruth O'Donovan, Michael Burke, Aoife Cahill, Josef van Genabith, Andy Way
Large-Scale Induction and Evaluation of Lexical Resources from the Penn-II Treebank. ACL (2004)
Michael Burke, Olivia S.-C. Lam, Aoife Cahill, Rowena Chan, Ruth O'Donovan, Adams Bodomo, Josef van Genabith, Andy Way
Treebank-Based Acquisition of a Chinese Lexical-Functional Grammar. PACLIC (2004)
Gareth J. F. Jones, Michael Burke, John Judge, Anna Khasin, Adenike M. Lam-Adesina, Joachim Wagner
Dublin City University at CLEF 2004: Experiments in Monolingual, Bilingual and Multilingual Retrieval. CLEF (Working Notes) (2004)
Aoife Cahill, Michael Burke, Ruth O'Donovan, Josef van Genabith, Andy Way
Long-Distance Dependency Resolution in Automatically Acquired Wide-Coverage PCFG-Based LFG Approximations. ACL (2004)
Jay Jayapalan, Michael Burke
Data services impact on architecture and signalling in mobile networks. PIMRC (1992)