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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learning Distinct Features Helps, Provably. - Firas Laakom; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (ECML/PKDD (2), 2023)

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

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

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

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

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

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

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

FACTS: A Factored State-Space Framework for World Modelling. - Nanbo Li; Firas Laakom; Yucheng Xu; Wenyi Wang; Jürgen Schmidhuber (ICLR, 2025)

Class-wise Generalization Error: an Information-Theoretic analysis. - Firas Laakom; Moncef Gabbouj; Jürgen Schmidhuber; Yuheng Bu (Trans. Mach. Learn. Res., 2025)

Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective. - Firas Laakom; Haobo Chen; Jürgen Schmidhuber; Yuheng Bu (CoRR, 2025)

PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors. - Yimeng Chen; Piotr Piekos; Mateusz Ostaszewski; Firas Laakom; Jürgen Schmidhuber (CoRR, 2025)