Lower bounds for the Laplacian spectral radius of an oriented hypergraph. - Ouail Kitouni; Nathan Reff (Australas. J Comb., 2019)

Towards Understanding Grokking: An Effective Theory of Representation Learning. - Ziming Liu; Ouail Kitouni; Niklas Nolte; Eric J. Michaud; Max Tegmark; Mike Williams (NeurIPS, 2022)

Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance. - Ouail Kitouni; Niklas Nolte; Mike Williams (CoRR, 2022)

Expressive Monotonic Neural Networks. - Niklas Nolte; Ouail Kitouni; Mike Williams (ICLR, 2023)

NuCLR: Nuclear Co-Learned Representations. - Ouail Kitouni; Niklas Nolte; Sokratis Trifinopoulos; Subhash Kantamneni; Mike Williams (CoRR, 2023)

Expressive Monotonic Neural Networks. - Ouail Kitouni; Niklas Nolte; Michael Williams (CoRR, 2023)

KBFormer: A Diffusion Model for Structured Entity Completion. - Ouail Kitouni; Niklas Nolte; James Hensman; Bhaskar Mitra 001 (CoRR, 2023)

Robust and provably monotonic networks. - Ouail Kitouni; Niklas Nolte; Mike Williams (Mach. Learn. Sci. Technol., 2023)

From Neurons to Neutrons: A Case Study in Interpretability. - Ouail Kitouni; Niklas Nolte; Víctor Samuel Pérez-Díaz; Sokratis Trifinopoulos; Mike Williams (ICML, 2024)

The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More. - Ouail Kitouni; Niklas Nolte; Adina Williams; Michael Rabbat; Diane Bouchacourt; Mark Ibrahim (NeurIPS, 2024)

Transformers Can Navigate Mazes With Multi-Step Prediction. - Niklas Nolte; Ouail Kitouni; Adina Williams; Mike Rabbat; Mark Ibrahim (CoRR, 2024)