Firas Laakom

Orcid: 0000-0001-7436-5692

According to our database¹, Firas Laakom authored at least 26 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2025

PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors.

[BibT_eX]

[DOI]

CoRR, July, 2025

Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective.

[BibT_eX]

[DOI]

CoRR, June, 2025

Class-wise Generalization Error: an Information-Theoretic analysis.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

FACTS: A Factored State-Space Framework for World Modelling.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Feature Diversity in Neural Networks: Theory and Algorithms.

[BibT_eX]

[DOI]

Firas Laakom

PhD thesis, 2024

Reducing redundancy in the bottleneck representation of autoencoders.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2024

Class-wise Generalization Error: an Information-Theoretic Analysis.

[BibT_eX]

[DOI]

Firas Laakom

Yuheng Bu

Moncef Gabbouj

CoRR, 2024

Pixel-Wise Color Constancy Via Smoothness Techniques In Multi-Illuminant Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Convolutional autoencoder-based multimodal one-class classification.

[BibT_eX]

[DOI]

CoRR, 2023

On Feature Diversity in Energy-based Models.

[BibT_eX]

[DOI]

CoRR, 2023

Newton Method-Based Subspace Support Vector Data Description.

[BibT_eX]

[DOI]

Fahad Sohrab

Firas Laakom

Moncef Gabbouj

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Learning Distinct Features Helps, Provably.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Veneer21.

[BibT_eX]

[DOI]

Dataset, May, 2022

Non-Linear Spectral Dimensionality Reduction Under Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Embedding With Data Uncertainty.

[BibT_eX]

[DOI]

IEEE Access, 2022

Efficient CNN with uncorrelated Bag of Features pooling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

Within-layer Diversity Reduces Generalization Gap.

[BibT_eX]

[DOI]

CoRR, 2021

INTEL-TAU: A Color Constancy Dataset.

[BibT_eX]

[DOI]

IEEE Access, 2021

Visual Product Tracking System Using Siamese Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2021

Monte Carlo Dropout Ensembles for Robust Illumination Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Robust channel-wise illumination estimation.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Learning to ignore: rethinking attention in CNNs.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Bag of Color Features for Color Constancy.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Probabilistic Color Constancy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Color Constancy Convolutional Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Firas Laakom

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