 Training morphological neural networks with gradient descent: some
theoretical insightsInternational Joint Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2024 |
 Logarithmic Morphological Neural Nets robust to lighting variationsInternational Joint Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2022 |
 Learning Deep Morphological Networks with Neural Architecture SearchPattern Recognition (Pattern Recogn.), 2021 |
 Going beyond p-convolutions to learn grayscale morphological operatorsInternational Joint Conference on Discrete Geometry and Mathematical Morphology (JDGMM), 2021 |
 Pruning CNN's with linear filter ensemblesEuropean Conference on Artificial Intelligence (ECAI), 2020 |
 A Universal Approximation Result for Difference of log-sum-exp Neural
NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 |
