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cs.LG2026
From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations
Abhishek A. Sabnis, Mihai Mitrea, Lya Lugon +5
Full-field reconstruction of air pollution is essential for evaluating pollution exposure and supporting public health decision-making. However, the complex interactions among poll…
cs.LG2024
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking
Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti +3
Nowadays, deep neural networks are used for solving complex tasks in several critical applications and protecting both their integrity and intellectual property rights (IPR) has be…
cs.LG2023
Find the Lady: Permutation and Re-Synchronization of Deep Neural Networks
Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti +3
Deep neural networks are characterized by multiple symmetrical, equi-loss solutions that are redundant. Thus, the order of neurons in a layer and feature maps can be given arbitrar…