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2020 – today
- 2024
[j17]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): 981-1002 (2024)- [c22]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Generating robotic elliptical excisions with human-like tool-tissue interactions. ICRA 2024: 15017-15023 - 2023
- [j16]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): 733-751 (2023) - [j15]Emma Perkins, Chiranjibi Sitaula, Michael Burke, Faezeh Marzbanrad:
Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation. IEEE Trans. Intell. Veh. 8(2): 1319-1338 (2023) - [c21]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs using the Udwadia-Kalaba Method. ICRA 2023: 5034-5040 - [c20]Michael Burke, Mohamed Younis:
Humidity Estimation Using WiFi Channel State Information. LCN 2023: 1-4 - [i24]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 abs/2307.03705 (2023) - [i23]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Generating robotic elliptical excisions with human-like tool-tissue interactions. CoRR abs/2309.12219 (2023) - 2022
- [j14]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): 4488-4495 (2022) - [c19]Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales:
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. L4DC 2022: 316-329 - [i22]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method. CoRR abs/2209.12039 (2022) - 2021
- [j13]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): 707-714 (2021) - [j12]Michael Burke, Kartic Subr, Subramanian Ramamoorthy:
Action Sequencing Using Visual Permutations. IEEE Robotics Autom. Lett. 6(2): 1745-1752 (2021) - [c18]Miguel Jaques, Michael Burke, Timothy M. Hospedales:
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. CVPR 2021: 4454-4463 - [i21]Michael Burke, Subramanian Ramamoorthy:
Learning data association without data association: An EM approach to neural assignment prediction. CoRR abs/2105.00369 (2021) - [i20]Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales:
Vision-based system identification and 3D keypoint discovery using dynamics constraints. CoRR abs/2109.05928 (2021) - 2020
- [j11]Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke:
Bias Remediation in Driver Drowsiness Detection Systems Using Generative Adversarial Networks. IEEE Access 8: 55592-55601 (2020) - [j10]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): 414-421 (2020) - [j9]Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. IEEE Robotics Autom. Lett. 5(2): 2658-2665 (2020) - [j8]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): 2872 (2020) - [c17]Miguel Jaques, Michael Burke, Timothy M. Hospedales:
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. ICLR 2020 - [c16]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. ICRA 2020: 4623-4629 - [c15]Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman:
Black-Box Saliency Map Generation Using Bayesian Optimisation. IJCNN 2020: 1-8 - [c14]Ditebogo Masha, Michael Burke:
Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification. SACAIR 2020: 154-168 - [i19]Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman:
Black-Box Saliency Map Generation Using Bayesian Optimisation. CoRR abs/2001.11366 (2020) - [i18]Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy:
Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR abs/2002.01240 (2020) - [i17]Miguel Jaques, Michael Burke, Timothy M. Hospedales:
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces. CoRR abs/2006.01959 (2020) - [i16]Michael Burke, Kartic Subr, Subramanian Ramamoorthy:
Action sequencing using visual permutations. CoRR abs/2008.01156 (2020) - [i15]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning from Demonstration. CoRR abs/2008.07682 (2020) - [i14]Tatiana Lopez-Guevara, Michael Burke, Nicholas K. Taylor, Kartic Subr:
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. CoRR abs/2012.01925 (2020)
2010 – 2019
- 2019
- [c13]Michael Burke, Yordan Hristov, Subramanian Ramamoorthy:
Hybrid system identification using switching density networks. CoRL 2019: 172-181 - [c12]Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRL 2019: 870-884 - [c11]Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy:
From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration. Robotics: Science and Systems 2019 - [i13]Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy:
From explanation to synthesis: Compositional program induction for learning from demonstration. CoRR abs/1902.10657 (2019) - [i12]Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke:
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis. CoRR abs/1903.02225 (2019) - [i11]Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke:
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms. CoRR abs/1904.12631 (2019) - [i10]Miguel Jaques, Michael Burke, Timothy M. Hospedales:
Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video. CoRR abs/1905.11169 (2019) - [i9]Michael Burke, Yordan Hristov, Subramanian Ramamoorthy:
Hybrid system identification using switching density networks. CoRR abs/1907.04360 (2019) - [i8]Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Vid2Param: Online system identification from video for robotics applications. CoRR abs/1907.06422 (2019) - [i7]Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. CoRR abs/1907.08199 (2019) - [i6]Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRR abs/1907.13627 (2019) - [i5]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. CoRR abs/1909.07247 (2019) - [i4]Todor Davchev, Michael Burke, Subramanian Ramamoorthy:
Learning Modular Representations for Long-Term Multi-Agent Motion Predictions. CoRR abs/1911.13044 (2019) - [i3]Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke:
Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks. CoRR abs/1912.12123 (2019) - 2017
- [j7]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): 2152-2160 (2017) - [c10]Michael Burke:
A generative Bézier curve model for surf-zone tracking in coastal image sequences. AFRICON 2017: 1466-1471 - [c9]Michael Burke, Kendall Dennis, Amir Lerman, Gurpreet Sandhu, Federico Franchi, Mark Benscoter, Martin Rodriguez-Porcel:
Scintillation sensing of 18F-FDG for the detection of metabolically active atherosclerotic plaque. MeMeA 2017: 67-71 - [i2]Michael Burke:
User-driven mobile robot storyboarding: Learning image interest and saliency from pairwise image comparisons. CoRR abs/1706.05850 (2017) - 2012
- [c8]Michael Burke:
Path-following control of a velocity constrained tracked vehicle incorporating adaptive slip estimation. ICRA 2012: 97-102 - 2010
- [i1]Michael Burke, Neil C. Audsley:
Distributed Fault-Tolerant Avionic Systems - A Real-Time Perspective. CoRR abs/1004.1324 (2010)
2000 – 2009
- 2009
- [j6]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): 58-82 (2009) - [j5]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): 308-318 (2009) - [c7]Michael Burke, Kristi Jean, Cheryl Brown, Rick Barrett, Carrie Leopold:
Creating Nanotechnicians for the 21st Century Workplace. NanoNet 2009: 116-127 - 2008
- [j4]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): 81-124 (2008) - 2007
- [j3]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): 493-512 (2007) - 2005
- [j2]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): 329-366 (2005) - [j1]Patrick Khader, Michael Burke, Siegfried Bien, Charan Ranganath, Frank Rösler:
Content-specific activation during associative long-term memory retrieval. NeuroImage 27(4): 805-816 (2005) - 2004
- [c6]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: 319-326 - [c5]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: 367-374 - [c4]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 - [c3]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: 207-220 - [c2]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 - 2001
- [e1]Michael Burke, Mary Lou Soffa:
Proceedings of the 2001 ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), Snowbird, Utah, USA, June 20-22, 2001. ACM 2001, ISBN 1-58113-414-2 [contents]
1990 – 1999
- 1992
- [c1]Jay Jayapalan, Michael Burke:
Data services impact on architecture and signalling in mobile networks. PIMRC 1992: 205-209
Coauthor Index
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