Amir Joudaki

Mohammad Samragh Razlighi

Giulia Lanzillotta

CoRR, October, 2025

Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations.

[BibT_eX]

[DOI]

Thomas Hofmann

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

On the impact of activation and normalization in obtaining isometric embeddings at initialization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Entropy Maximization with Depth: A Variational Principle for Random Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Batch Normalization Orthogonalizes Representations in Deep Random Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Sparse Binary Relation Representations for Genome Graph Annotation.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2019

2016

Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping.

[BibT_eX]

[DOI]

Amir Najafi