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cs.CV2025
Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities
Katarzyna Filus, Michał Romaszewski, Mateusz Żarski
Understanding deep neural network (DNN) behavior requires more than evaluating classification accuracy alone; analyzing errors and their predictability is equally crucial. Current…
quant-ph2025★ 1 cited
Quantum-aware Transformer model for state classification
Przemysław Sekuła, Michał Romaszewski, Przemysław Głomb +2
Entanglement is a fundamental feature of quantum mechanics, playing a crucial role in quantum information processing. However, classifying entangled states, particularly in the mix…