Poklukar, Petra

9 publications

NeurIPS 2025 Gatekeeper: Improving Model Cascades Through Confidence Tuning Stephan Rabanser, Nathalie Rauschmayr, Achin Kulshrestha, Petra Poklukar, Wittawat Jitkrittum, Sean Augenstein, Congchao Wang, Federico Tombari

ECCV 2024 BRAVE: Broadening the Visual Encoding of Vision-Language Models Oğuzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari

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

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

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

JMLR 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

ICLRW 2021 Few-Shotlearning with Weak Supervision Ali Ghadirzadeh, Petra Poklukar, Xi Chen, Huaxiu Yao, Hossein Azizpour, Mårten Björkman, Chelsea Finn, Danica Kragic

ICML 2021 GeomCA: Geometric Evaluation of Data Representations Petra Poklukar, Anastasiia Varava, Danica Kragic

CVPRW 2019 Modeling Assumptions and Evaluation Schemes: On the Assessment of Deep Latent Variable Models Judith Bütepage, Petra Poklukar, Danica Kragic