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Petra Poklukar
Petra Poklukar
Research Scientist, Google Zurich
Verified email at google.com
Title
Cited by
Cited by
Year
Latent space roadmap for visual action planning of deformable and rigid object manipulation
M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
632020
Geometric Multimodal Contrastive Representation Learning
P Poklukar, M Vasco, H Yin, FS Melo, A Paiva, D Kragic
International Conference on Machine Learning, 17782-17800, 2022
492022
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
A Ghadirzadeh, X Chen, P Poklukar, C Finn, M Björkman, D Kragic
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
322021
Enabling visual action planning for object manipulation through latent space roadmap
M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic
IEEE Transactions on Robotics 39 (1), 57-75, 2022
162022
Data-efficient visuomotor policy training using reinforcement learning and generative models
A Ghadirzadeh, P Poklukar, V Kyrki, D Kragic, M Björkman
arXiv preprint arXiv:2007.13134, 2020
142020
Delaunay Component Analysis for Evaluation of Data Representations
DK Petra Poklukar, Vladislav Polianskii, Anastasia Varava, Florian Pokorny
International Conference on Learning Representations, 2022
12*2022
GeomCA: Geometric Evaluation of Data Representations
P Poklukar, A Varava, D Kragic
Proceedings of the 38th International Conference on Machine Learning 139 …, 2021
112021
Bayesian meta-learning for few-shot policy adaptation across robotic platforms. In 2021 IEEE
A Ghadirzadeh, X Chen, P Poklukar, C Finn, M Björkman, D Kragic
RSJ International Conference on Intelligent Robots and Systems (IROS), 1274-1280, 0
7
Latent space roadmap for visual action planning of deformable and rigid object manipulation. In 2020 IEEE
M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic
RSJ International Conference on Intelligent Robots and Systems (IROS), 5619-5626, 0
7
Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity
M Lippi, MC Welle, P Poklukar, A Marino, D Kragic
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
42022
Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models.
J Bütepage, P Poklukar, D Kragic
CVPR Workshops, 9-12, 2019
42019
GraphDCA--a Framework for Node Distribution Comparison in Real and Synthetic Graphs
C Ceylan, P Poklukar, H Hultin, A Kravchenko, A Varava, D Kragic
arXiv preprint arXiv:2202.03884, 2022
32022
Batch Curation for Unsupervised Contrastive Representation Learning
MC Welle, P Poklukar, D Kragic
arXiv preprint arXiv:2108.08643, 2021
32021
Few-Shot Learning with Weak Supervision
A Ghadirzadeh, P Poklukar, X Chen, H Yao, H Azizpour, M Björkman, ...
Learning to Learn-Workshop at ICLR 2021, 2021
22021
Hyperbolic Delaunay Geometric Alignment
AA Medbouhi, GL Marchetti, V Polianskii, A Kravberg, P Poklukar, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024
12024
Training and evaluation of deep policies using reinforcement learning and generative models
A Ghadirzadeh, P Poklukar, K Arndt, C Finn, V Kyrki, D Kragic, ...
Journal of machine learning research 23 (174), 1-37, 2022
12022
Hyperbolic Delaunay Geometric Alignment
A Aiman Medbouhi, GL Marchetti, V Polianskii, A Kravberg, P Poklukar, ...
arXiv e-prints, arXiv: 2404.08608, 2024
2024
Learning and Evaluating the Geometric Structure of Representation Spaces
P Poklukar
KTH Royal Institute of Technology, 2022
2022
On the real spectrum compactification of Teichmüller space: master thesis
P Poklukar
Univerza v Ljubljani, Fakulteta za matematiko in fiziko, 2016
2016
Operacije na gladkih mnogoterostih: delo diplomskega seminarja
P Poklukar
Univerza v Ljubljani, Fakulteta za matematiko in fiziko, 2014
2014
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Articles 1–20