Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping. - Amir Najafi 002; Amir Joudaki; Emad Fatemizadeh (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Sparse Binary Relation Representations for Genome Graph Annotation. - Mikhail Karasikov; Harun Mustafa; Amir Joudaki; Sara Javadzadeh-No; Gunnar Rätsch; André Kahles (J. Comput. Biol., 2020)

Batch Normalization Orthogonalizes Representations in Deep Random Networks. - Hadi Daneshmand; Amir Joudaki; Francis R. Bach (NeurIPS, 2021)

Entropy Maximization with Depth: A Variational Principle for Random Neural Networks. - Amir Joudaki; Hadi Daneshmand; Francis R. Bach (CoRR, 2022)

On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization. - Amir Joudaki; Hadi Daneshmand; Francis R. Bach (ICML, 2023)

On the impact of activation and normalization in obtaining isometric embeddings at initialization. - Amir Joudaki; Hadi Daneshmand; Francis R. Bach (NeurIPS, 2023)

Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs. - Kacper Kapusniak; Manuel Burger; Gunnar Rätsch; Amir Joudaki (CoRR, 2023)

Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion. - Alexandru Meterez; Amir Joudaki; Francesco Orabona; Alexander Immer; Gunnar Rätsch; Hadi Daneshmand (ICLR, 2024)

Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations. - Amir Joudaki; Thomas Hofmann 001 (AISTATS, 2025)