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2020 – today
- 2024
[j1]Tim Whittaker
, Romuald A. Janik, Yaron Oz:
Turbulence scaling from deep learning diffusion generative models. J. Comput. Phys. 514: 113239 (2024)- [i9]Ori Shem-Ur, Yaron Oz:
Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems. CoRR abs/2401.04013 (2024) - [i8]Khen Cohen, Noam Levi, Yaron Oz:
Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets. CoRR abs/2405.18427 (2024) - [i7]Jakub Vrábel, Ori Shem-Ur, Yaron Oz, David Krueger:
Input Space Mode Connectivity in Deep Neural Networks. CoRR abs/2409.05800 (2024) - 2023
- [c2]Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz:
Semi-supervised learning of partial differential operators and dynamical flows. UAI 2023: 1785-1794 - [i6]Noam Levi, Yaron Oz:
The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets. CoRR abs/2306.14975 (2023) - [i5]Tim Whittaker, Romuald A. Janik, Yaron Oz:
Turbulence Scaling from Deep Learning Diffusion Generative Models. CoRR abs/2311.06112 (2023) - 2022
- [c1]Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. ICLR 2022 - [i4]Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. CoRR abs/2202.06201 (2022) - [i3]Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz:
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows. CoRR abs/2207.14366 (2022) - [i2]Tim Whittaker, Romuald A. Janik, Yaron Oz:
Neural Network Complexity of Chaos and Turbulence. CoRR abs/2211.15382 (2022) - 2021
- [i1]Joonho Kim, Yaron Oz:
Entanglement Diagnostics for Efficient Quantum Computation. CoRR abs/2102.12534 (2021)
Coauthor Index
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