2 papers
cs.SD2026
Backward Compatibility in Zero-Bit Neural Audio Watermarking
Admir Krnić, Kosta Pavlović, Petar Nedić +3
Neural watermarking systems are typically trained as tightly coupled embedder-detector pairs and implicitly assume static deployment. In real-world deployments, embedders and detec…
cs.LG2026
GraphNNK -- Graph Classification and Interpretability
Zeljko Bolevic, Milos Brajovic, Isidora Stankovic +1
Graph Neural Networks (GNNs) have become a standard approach for learning from graph-structured data. However, their reliance on parametric classifiers (most often linear softmax l…