Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models. - Judith Bütepage; Petra Poklukar; Danica Kragic (CVPR Workshops, 2019)

Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation. - Martina Lippi; Petra Poklukar; Michael C. Welle; Anastasiia Varava; Hang Yin 001; Alessandro Marino; Danica Kragic (IROS, 2020)

Data-efficient visuomotor policy training using reinforcement learning and generative models. - Ali Ghadirzadeh; Petra Poklukar; Ville Kyrki; Danica Kragic; Mårten Björkman (CoRR, 2020)

GeomCA: Geometric Evaluation of Data Representations. - Petra Poklukar; Anastasiia Varava; Danica Kragic (ICML, 2021)

Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. - Ali Ghadirzadeh; Xi Chen 051; Petra Poklukar; Chelsea Finn; Mårten Björkman; Danica Kragic (IROS, 2021)

Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap. - Martina Lippi; Petra Poklukar; Michael C. Welle; Anastasiia Varava; Hang Yin 001; Alessandro Marino; Danica Kragic (CoRR, 2021)

Batch Curation for Unsupervised Contrastive Representation Learning. - Michael C. Welle; Petra Poklukar; Danica Kragic (CoRR, 2021)

Delaunay Component Analysis for Evaluation of Data Representations. - Petra Poklukar; Vladislav Polianskii; Anastasiia Varava; Florian T. Pokorny; Danica Kragic (ICLR, 2022)

Geometric Multimodal Contrastive Representation Learning. - Petra Poklukar; Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001; Danica Kragic (ICML, 2022)

Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity. - Martina Lippi; Michael C. Welle; Petra Poklukar; Alessandro Marino; Danica Kragic (IROS, 2022)

GMC - Geometric Multimodal Contrastive Representation Learning. - Petra Poklukar; Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001; 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)

Delaunay Component Analysis for Evaluation of Data Representations. - Petra Poklukar; Vladislav Polianskii; Anastasia Varava; Florian T. Pokorny; Danica Kragic (CoRR, 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)

Learning and Evaluating the Geometric Structure of Representation Spaces. - Petra Poklukar (2022)

Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap. - Martina Lippi; Petra Poklukar; Michael C. Welle; Anastasia Varava; Hang Yin 001; Alessandro Marino; Danica Kragic (IEEE Trans. Robotics, 2023)

BRAVE: Broadening the Visual Encoding of Vision-Language Models. - Oguzhan Fatih Kar; Alessio Tonioni; Petra Poklukar; Achin Kulshrestha; Amir Zamir; Federico Tombari (ECCV (16), 2024)

Hyperbolic Delaunay Geometric Alignment. - Aniss Aiman Medbouhi; Giovanni Luca Marchetti; Vladislav Polianskii; Alexander Kravberg; Petra Poklukar; Anastasia Varava; Danica Kragic (ECML/PKDD (3), 2024)

I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning. - Stephan Rabanser; Nathalie Rauschmayr; Achin Kulshrestha; Petra Poklukar; Wittawat Jitkrittum; Sean Augenstein; Congchao Wang; Federico Tombari (CoRR, 2025)