Feature Diversity in Neural Networks: Theory and Algorithms. - Laakom, Firas (2024)

Reducing redundancy in the bottleneck representation of autoencoders. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (Pattern Recognit. Lett., 2024)

Class-wise Generalization Error: an Information-Theoretic Analysis. - Laakom, Firas; Bu, Yuheng; Gabbouj, Moncef (CoRR, 2024)

Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes. - Entok, Umut Cem; Laakom, Firas; Pakdaman, Farhad; Gabbouj, Moncef (CoRR, 2024)

FACTS: A Factored State-Space Framework For World Modelling. - Li, Nanbo; Laakom, Firas; Xu, Yucheng; Wang, Wenyi; Schmidhuber, Jürgen (CoRR, 2024)

WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (2023)

Learning Distinct Features Helps, Provably. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (2023)

Newton Method-Based Subspace Support Vector Data Description. - Sohrab, Fahad; Laakom, Firas; Gabbouj, Moncef (2023)

WLD-Reg: A Data-dependent Within-layer Diversity Regularizer. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2023)

On Feature Diversity in Energy-based Models. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2023)

Newton Method-based Subspace Support Vector Data Description. - Sohrab, Fahad; Laakom, Firas; Gabbouj, Moncef (CoRR, 2023)

Convolutional autoencoder-based multimodal one-class classification. - Laakom, Firas; Sohrab, Fahad; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2023)

Graph Embedding With Data Uncertainty. - Laakom, Firas; Raitoharju, Jenni; Passalis, Nikolaos; Iosifidis, Alexandros; Gabbouj, Moncef (IEEE Access, 2022)

Efficient CNN with uncorrelated Bag of Features pooling. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (2022)

Veneer21. - Jalonen, Tuomas; Laakom, Firas; Gabbouj, Moncef; Puoskari, Tuomas (IEEE DataPort, 2022)

Reducing Redundancy in the Bottleneck Representation of the Autoencoders. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2022)

Non-Linear Spectral Dimensionality Reduction Under Uncertainty. - Laakom, Firas; Raitoharju, Jenni; Passalis, Nikolaos; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2022)

Efficient CNN with uncorrelated Bag of Features pooling. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2022)

INTEL-TAU: A Color Constancy Dataset. - Laakom, Firas; Raitoharju, Jenni; Nikkanen, Jarno; Iosifidis, Alexandros; Gabbouj, Moncef (IEEE Access, 2021)

Visual Product Tracking System Using Siamese Neural Networks. - Jalonen, Tuomas; Laakom, Firas; Gabbouj, Moncef; Puoskari, Tuomas (IEEE Access, 2021)

Robust channel-wise illumination estimation. - Laakom, Firas; Raitoharju, Jenni; Nikkanen, Jarno; Iosifidis, Alexandros; Gabbouj, Moncef (2021)

Learning to ignore: rethinking attention in CNNs. - Laakom, Firas; Chumachenko, Kateryna; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (2021)

Monte Carlo Dropout Ensembles for Robust Illumination Estimation. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Nikkanen, Jarno; Gabbouj, Moncef (2021)

Within-layer Diversity Reduces Generalization Gap. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2021)

Learning to ignore: rethinking attention in CNNs. - Laakom, Firas; Chumachenko, Kateryna; Raitoharju, Jenni; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2021)

Bag of Color Features for Color Constancy. - Laakom, Firas; Passalis, Nikolaos; Raitoharju, Jenni; Nikkanen, Jarno; Tefas, Anastasios; Iosifidis, Alexandros; Gabbouj, Moncef (IEEE Trans. Image Process., 2020)

Probabilistic Color Constancy. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Tuna, Uygar; Nikkanen, Jarno; Gabbouj, Moncef (2020)

Probabilistic Color Constancy. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Tuna, Uygar; Nikkanen, Jarno; Gabbouj, Moncef (CoRR, 2020)

Monte Carlo Dropout Ensembles for Robust Illumination Estimation. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Nikkanen, Jarno; Gabbouj, Moncef (CoRR, 2020)

Graph Embedding with Data Uncertainty. - Laakom, Firas; Raitoharju, Jenni; Passalis, Nikolaos; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2020)

Color Constancy Convolutional Autoencoder. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Nikkanen, Jarno; Gabbouj, Moncef (2019)

Color Constancy Convolutional Autoencoder. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Nikkanen, Jarno; Gabbouj, Moncef (CoRR, 2019)

Bag of Color Features For Color Constancy. - Laakom, Firas; Passalis, Nikolaos; Raitoharju, Jenni; Nikkanen, Jarno; Tefas, Anastasios; Iosifidis, Alexandros; Gabbouj, Moncef (CoRR, 2019)

INTEL-TAU: A Color Constancy Dataset. - Laakom, Firas; Raitoharju, Jenni; Iosifidis, Alexandros; Nikkanen, Jarno; Gabbouj, Moncef (CoRR, 2019)