Entanglement Diagnostics for Efficient Quantum Computation. - Joonho Kim; Yaron Oz (CoRR, 2021)

Unsupervised Disentanglement with Tensor Product Representations on the Torus. - Michael Rotman; Amit Dekel; Shir Gur; Yaron Oz; Lior Wolf (ICLR, 2022)

Neural Network Complexity of Chaos and Turbulence. - Tim Whittaker; Romuald A. Janik; Yaron Oz (CoRR, 2022)

Semi-supervised learning of partial differential operators and dynamical flows. - Michael Rotman; Amit Dekel; Ran Ilan Ber; Lior Wolf; Yaron Oz (UAI, 2023)

The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets. - Noam Levi; Yaron Oz (CoRR, 2023)

Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems. - Ori Shem-Ur; Yaron Oz (CoRR, 2024)

Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets. - Khen Cohen; Noam Levi; Yaron Oz (CoRR, 2024)

Turbulence scaling from deep learning diffusion generative models. - Tim Whittaker; Romuald A. Janik; Yaron Oz (J. Comput. Phys., 2024)

Input Space Mode Connectivity in Deep Neural Networks. - Jakub Vrábel; Ori Shem-Ur; Yaron Oz; David Krueger 001 (ICLR, 2025)

Quantum Key Distribution by Quantum Energy Teleportation. - Shlomi Dolev; Kazuki Ikeda; Yaron Oz (CoRR, 2025)