Petra Poklukar

According to our database, Petra Poklukar authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap.

Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasia Varava, Hang Yin, Alessandro Marino, Danica Kragic

IEEE Trans. Robotics, February, 2023

2022

Learning and Evaluating the Geometric Structure of Representation Spaces.

Petra Poklukar

PhD thesis, 2022

Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models.

Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman

J. Mach. Learn. Res., 2022

Delaunay Component Analysis for Evaluation of Data Representations.

Petra Poklukar, Vladislav Polianskii, Anastasia Varava, Florian T. Pokorny, Danica Kragic

CoRR, 2022

GraphDCA - a Framework for Node Distribution Comparison in Real and Synthetic Graphs.

Ciwan Ceylan, Petra Poklukar, Hanna Hultin, Alexander Kravchenko, Anastasia Varava, Danica Kragic

CoRR, 2022

GMC - Geometric Multimodal Contrastive Representation Learning.

Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic

CoRR, 2022

Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity.

Martina Lippi, Michael C. Welle, Petra Poklukar, Alessandro Marino, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Geometric Multimodal Contrastive Representation Learning.

Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic

Proceedings of the International Conference on Machine Learning, 2022

Delaunay Component Analysis for Evaluation of Data Representations.

Petra Poklukar, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Batch Curation for Unsupervised Contrastive Representation Learning.

Michael C. Welle, Petra Poklukar, Danica Kragic

CoRR, 2021

Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap.

Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic

CoRR, 2021

Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms.

Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

GeomCA: Geometric Evaluation of Data Representations.

Petra Poklukar, Anastasiia Varava, Danica Kragic

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Data-efficient visuomotor policy training using reinforcement learning and generative models.

Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman

CoRR, 2020

Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation.

Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models.

Judith Bütepage, Petra Poklukar, Danica Kragic

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019