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Firat Ozdemir

2 accepted papers

2026

PokeFlex: A Real-World Dataset of Volumetric Deformable Objects for Robotics

ICRA 2026poster

Data-driven methods have shown great potential in solving challenging manipulation tasks; however, their application in the domain of deformable objects has been constrained, in part, by the lack of data. To address this lack, we propose PokeFlex, a dataset featuring real-world multimodal data that …

2023

Retrospective Uncertainties for Deep Models using Vine Copulas

AISTATS 2023poster

Despite the major progress of deep models as learning machines, uncertainty estimation remains a major challenge. Existing solutions rely on modified loss functions or architectural changes. We propose to compensate for the lack of built-in uncertainty estimates by supplementing any network, retrosp…