Amir Joudaki

Orcid: 0000-0003-0095-6750

According to our database1, Amir Joudaki authored at least 9 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations.
CoRR, 2024

Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs.
CoRR, 2023

On the impact of activation and normalization in obtaining isometric embeddings at initialization.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
Entropy Maximization with Depth: A Variational Principle for Random Neural Networks.
CoRR, 2022

2021
Batch Normalization Orthogonalizes Representations in Deep Random Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Sparse Binary Relation Representations for Genome Graph Annotation.
J. Comput. Biol., 2020

2016
Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping.
IEEE Trans. Pattern Anal. Mach. Intell., 2016


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