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

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

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

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

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

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

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

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

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

Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations. - Jiang, Zhongliang; Bi, Yuan; Zhou, Mingchuan; Hu, Ying; Burke, Michael; Navab, Nassir (CoRR, 2023)

Generating robotic elliptical excisions with human-like tool-tissue interactions. - Straizys, Arturas; Burke, Michael; Ramamoorthy, Subramanian (CoRR, 2023)

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

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

Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method. - Straizys, Arturas; Burke, Michael; Ramamoorthy, Subramanian (CoRR, 2022)

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

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

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

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

Vision-based system identification and 3D keypoint discovery using dynamics constraints. - Jaques, Miguel; Asenov, Martin; Burke, Michael; Hospedales, Timothy M. (CoRR, 2021)

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

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

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

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

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

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

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

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

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

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

NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces. - Jaques, Miguel; Burke, Michael; Hospedales, Timothy M. (CoRR, 2020)

Action sequencing using visual permutations. - Burke, Michael; Subr, Kartic; Ramamoorthy, Subramanian (CoRR, 2020)

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

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

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

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

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

From explanation to synthesis: Compositional program induction for learning from demonstration. - Burke, Michael; Penkov, Svetlin; Ramamoorthy, Subramanian (CoRR, 2019)

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

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

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

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

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

Composing Diverse Policies for Temporally Extended Tasks. - Angelov, Daniel; Hristov, Yordan; Burke, Michael; Ramamoorthy, Subramanian (CoRR, 2019)

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

Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. - Straizys, Arturas; Burke, Michael; Ramamoorthy, Subramanian (CoRR, 2019)

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

Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks. - Ngxande, Mkhuseli; Tapamo, Jules-Raymond; Burke, Michael (CoRR, 2019)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Proceedings of the 2001 ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), Snowbird, Utah, USA, June 20-22, 2001 (ACM, 2001)

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