Petra Poklukar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Data Representations

Dimensionality Reduction

Discriminatively Trained

Top Venues

IEEE Trans. Robotics

Publications

Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Vladislav Polianskii, Alexander Kravberg, Petra Poklukar, Anastasia Varava, Danica Kragic
Hyperbolic Delaunay Geometric Alignment. CoRR (2024)
Oguzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari
BRAVE: Broadening the visual encoding of vision-language models. CoRR (2024)
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasia Varava, Hang Yin, Alessandro Marino, Danica Kragic
Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap. IEEE Trans. Robotics 39 (1) (2023)
Martina Lippi, Michael C. Welle, Petra Poklukar, Alessandro Marino, Danica Kragic
Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity. CoRR (2022)
Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
Geometric Multimodal Contrastive Representation Learning. ICML (2022)
Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
GMC - Geometric Multimodal Contrastive Representation Learning. CoRR (2022)
Petra Poklukar, Vladislav Polianskii, Anastasia Varava, Florian T. Pokorny, Danica Kragic
Delaunay Component Analysis for Evaluation of Data Representations. CoRR (2022)
Ciwan Ceylan, Petra Poklukar, Hanna Hultin, Alexander Kravchenko, Anastasia Varava, Danica Kragic
GraphDCA - a Framework for Node Distribution Comparison in Real and Synthetic Graphs. CoRR (2022)
Martina Lippi, Michael C. Welle, Petra Poklukar, Alessandro Marino, Danica Kragic
Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity. IROS (2022)
Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman
Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models. J. Mach. Learn. Res. 23 (2022)
Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models. CoRR (2022)
Petra Poklukar, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic Jensfelt
Delaunay Component Analysis for Evaluation of Data Representations. ICLR (2022)
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. CoRR (2021)
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. IROS (2021)
Petra Poklukar, Anastasiia Varava, Danica Kragic
GeomCA: Geometric Evaluation of Data Representations. ICML (2021)
Petra Poklukar, Anastasiia Varava, Danica Kragic
GeomCA: Geometric Evaluation of Data Representations. CoRR (2021)
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap. CoRR (2021)
Michael C. Welle, Petra Poklukar, Danica Kragic
Batch Curation for Unsupervised Contrastive Representation Learning. CoRR (2021)
Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman
Data-efficient visuomotor policy training using reinforcement learning and generative models. CoRR (2020)
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation. CoRR (2020)
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation. IROS (2020)
Judith Bütepage, Petra Poklukar, Danica Kragic
Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models. CVPR Workshops (2019)