Data services impact on architecture and signalling in mobile networks. - Jay Jayapalan; Michael Burke (PIMRC, 1992)

Long-Distance Dependency Resolution in Automatically Acquired Wide-Coverage PCFG-Based LFG Approximations. - Aoife Cahill; Michael Burke; Ruth O'Donovan; Josef van Genabith; Andy Way (ACL, 2004)

Large-Scale Induction and Evaluation of Lexical Resources from the Penn-II Treebank. - Ruth O'Donovan; Michael Burke; Aoife Cahill; Josef van Genabith; Andy Way (ACL, 2004)

Dublin City University at CLEF 2004: Experiments in Monolingual, Bilingual and Multilingual Retrieval. - Gareth J. F. Jones; Michael Burke; John Judge; Anna Khasin; Adenike M. Lam-Adesina; Joachim Wagner 001 (CLEF, 2004)

Treebank-Based Acquisition of a Chinese Lexical-Functional Grammar. - Michael Burke; Olivia S.-C. Lam; Aoife Cahill; Rowena Chan; Ruth O'Donovan; Adams Bodomo; Josef van Genabith; Andy Way (PACLIC, 2004)

Large-Scale Induction and Evaluation of Lexical Resources from the Penn-II and Penn-III Treebanks. - Ruth O'Donovan; Michael Burke; Aoife Cahill; Josef van Genabith; Andy Way (Comput. Linguistics, 2005)

Content-specific activation during associative long-term memory retrieval. - Patrick Khader; Michael Burke; Siegfried Bien; Charan Ranganath; Frank Rösler (NeuroImage, 2005)

Topography and Dynamics of Associative Long-term Memory Retrieval in Humans. - Patrick Khader; Kathrin Knoth; Michael Burke; Charan Ranganath; Siegfried Bien; Frank Rösler (J. Cogn. Neurosci., 2007)

Wide-Coverage Deep Statistical Parsing Using Automatic Dependency Structure Annotation. - Aoife Cahill; Michael Burke; Ruth O'Donovan; Stefan Riezler; Josef van Genabith; Andy Way (Comput. Linguistics, 2008)

Creating Nanotechnicians for the 21st Century Workplace. - Michael Burke; Kristi Jean; Cheryl Brown; Rick Barrett; Carrie Leopold (NanoNet, 2009)

Cortical Activation Patterns during Long-term Memory Retrieval of Visually or Haptically Encoded Objects and Locations. - Oliver Stock; Brigitte Röder; Michael Burke; Siegfried Bien; Frank Rösler (J. Cogn. Neurosci., 2009)

Dissociating the solution processes of small, large, and zero multiplications by means of fMRI. - Kerstin Jost; Patrick Khader; Michael Burke; Siegfried Bien; Frank Rösler (NeuroImage, 2009)

Distributed Fault-Tolerant Avionic Systems - A Real-Time Perspective - Michael Burke; Neil C. Audsley (CoRR, 2010)

Path-following control of a velocity constrained tracked vehicle incorporating adaptive slip estimation. - Michael Burke (ICRA, 2012)

A generative Bézier curve model for surf-zone tracking in coastal image sequences. - Michael Burke (AFRICON, 2017)

Scintillation sensing of 18F-FDG for the detection of metabolically active atherosclerotic plaque. - Michael Burke; Kendall Dennis; Amir Lerman; Gurpreet Sandhu; Federico Franchi; Mark Benscoter; Martin Rodriguez-Porcel (MeMeA, 2017)

User-driven mobile robot storyboarding: Learning image interest and saliency from pairwise image comparisons. - Michael Burke (CoRR, 2017)

Kinase Crystal Miner: A Powerful Approach to Repurposing 3D Hinge Binding Fragments and Its Application to Finding Novel Bruton Tyrosine Kinase Inhibitors. - Prasenjit Mukherjee; Jörg Bentzien; Todd Bosanac; Wang Mao; Michael Burke; Ingo Muegge (J. Chem. Inf. Model., 2017)

Hybrid system identification using switching density networks. - Michael Burke; Yordan Hristov; Subramanian Ramamoorthy (CoRL, 2019)

Disentangled Relational Representations for Explaining and Learning from Demonstration. - Yordan Hristov; Daniel Angelov; Michael Burke; Alex Lascarides; Subramanian Ramamoorthy (CoRL, 2019)

From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration. - Michael Burke; Svetlin Penkov; Subramanian Ramamoorthy (Robotics: Science and Systems, 2019)

DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis. - Mkhuseli Ngxande; Jules-Raymond Tapamo; Michael Burke (CoRR, 2019)

Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms. - Mkhuseli Ngxande; Jules-Raymond Tapamo; Michael Burke (CoRR, 2019)

Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video. - Miguel Jaques; Michael Burke; Timothy M. Hospedales (CoRR, 2019)

Vid2Param: Online system identification from video for robotics applications. - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (CoRR, 2019)

Learning Modular Representations for Long-Term Multi-Agent Motion Predictions. - Todor Davchev; Michael Burke; Subramanian Ramamoorthy (CoRR, 2019)

Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. - Miguel Jaques; Michael Burke; Timothy M. Hospedales (ICLR, 2020)

Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. - Arturas Straizys; Michael Burke; Subramanian Ramamoorthy (ICRA, 2020)

Black-Box Saliency Map Generation Using Bayesian Optimisation. - Mamuku Mokuwe; Michael Burke; Anna Sergeevna Bosman (IJCNN, 2020)

Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification. - Ditebogo Masha; Michael Burke (SACAIR, 2020)

Bias Remediation in Driver Drowsiness Detection Systems Using Generative Adversarial Networks. - Mkhuseli Ngxande; Jules-Raymond Tapamo; Michael Burke (IEEE Access, 2020)

Learning robotic ultrasound scanning using probabilistic temporal ranking. - Michael Burke; Katie Lu; Daniel Angelov; Arturas Straizys; Craig Innes; Kartic Subr; Subramanian Ramamoorthy (CoRR, 2020)

Residual Learning from Demonstration. - Todor Davchev; Kevin Sebastian Luck; Michael Burke; Franziska Meier; Stefan Schaal; Subramanian Ramamoorthy (CoRR, 2020)

IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. - Tatiana Lopez-Guevara; Michael Burke; Nicholas K. Taylor; Kartic Subr (CoRR, 2020)

Composing Diverse Policies for Temporally Extended Tasks. - Daniel Angelov; Yordan Hristov; Michael Burke; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Vid2Param: Modeling of Dynamics Parameters From Video. - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. - Miguel Jaques; Michael Burke; Timothy M. Hospedales (CVPR, 2021)

Learning data association without data association: An EM approach to neural assignment prediction. - Michael Burke; Subramanian Ramamoorthy (CoRR, 2021)

Action Sequencing Using Visual Permutations. - Michael Burke; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2021)

Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes. - Todor Davchev; Michael Burke; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2021)

Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. - Miguel Jaques; Martin Asenov; Michael Burke; Timothy M. Hospedales (L4DC, 2022)

Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. - Todor Davchev; Kevin Sebastian Luck; Michael Burke; Franziska Meier; Stefan Schaal; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2022)

Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs using the Udwadia-Kalaba Method. - Arturas Straizys; Michael Burke; Subramanian Ramamoorthy (ICRA, 2023)

Humidity Estimation Using WiFi Channel State Information. - Michael Burke; Mohamed Younis 001 (LCN, 2023)

Learning rewards from exploratory demonstrations using probabilistic temporal ranking. - Michael Burke; Katie Lu; Daniel Angelov; Arturas Straizys; Craig Innes; Kartic Subr; Subramanian Ramamoorthy (Auton. Robots, 2023)

Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation. - Emma Perkins; Chiranjibi Sitaula; Michael Burke; Faezeh Marzbanrad (IEEE Trans. Intell. Veh., 2023)

Generating robotic elliptical excisions with human-like tool-tissue interactions. - Arturas Straizys; Michael Burke; Subramanian Ramamoorthy (ICRA, 2024)

Learning a Neural Association Network for Self-supervised Multi-Object Tracking. - Shuai Li; Michael Burke; Subramanian Ramamoorthy; Juergen Gall (CoRR, 2024)

Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations. - Zhongliang Jiang; Yuan Bi; Mingchuan Zhou; Ying Hu 001; Michael Burke; Nassir Navab (Int. J. Robotics Res., 2024)

A Dynamical Equation Approach For Quasi-Periodic Gaussian Processes. - Unnati Nigam; Radhendushka Srivastava; Michael Burke; Faezeh Marzbanrad (ICASSP, 2025)

Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review. - Amara Zuffer; Michael Burke; Mehrtash Harandi (CoRR, 2025)

Feedback-Induced Performance Decline in LLM-Based Decision-Making. - Xiao Yang; Juxi Leitner; Michael Burke (CoRR, 2025)