3 papers
cs.LG2025
Curly Flow Matching for Learning Non-gradient Field Dynamics
Katarina PetroviÄ, Lazar Atanackovic, Viggo Moro +5
Modeling the transport dynamics of natural processes from population-level observations is a ubiquitous problem in the natural sciences. Such models rely on key assumptions about t…
cs.CV2024
Breaking the Illusion: Real-world Challenges for Adversarial Patches in Object Detection
Jakob Shack, Katarina Petrovic, Olga Saukh
Adversarial attacks pose a significant threat to the robustness and reliability of machine learning systems, particularly in computer vision applications. This study investigates t…
cs.LG2024
Temporal Graph Rewiring with Expander Graphs
Katarina PetroviÄ, Shenyang Huang, Farimah Poursafaei +1
Evolving relations in real-world networks are often modelled by temporal graphs. Temporal Graph Neural Networks (TGNNs) emerged to model evolutionary behaviour of such graphs by le…