no code implementations • 8 Jan 2024 • Ori Shem-Ur, Yaron Oz
As a case in point, we showcase this weak correlations structure within neural networks in the large width limit.
no code implementations • 10 Nov 2023 • Tim Whittaker, Romuald A. Janik, Yaron Oz
Complex spatial and temporal structures are inherent characteristics of turbulent fluid flows and comprehending them poses a major challenge.
no code implementations • 2 Nov 2023 • Noam Levi, Yaron Oz
We show that from the RMT perspective, the turbulence Gram matrices lie in the same universality class as quantum chaotic rather than integrable systems, and the data exhibits power-law scalings in the bulk of its eigenvalues which are vastly different from uncorrelated classical chaos, random data, natural images.
no code implementations • 26 Jun 2023 • Noam Levi, Yaron Oz
We study universal traits which emerge both in real-world complex datasets, as well as in artificially generated ones.
no code implementations • 24 Nov 2022 • Tim Whittaker, Romuald A. Janik, Yaron Oz
Chaos and turbulence are complex physical phenomena, yet a precise definition of the complexity measure that quantifies them is still lacking.
no code implementations • 28 Jul 2022 • Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz
As a result, it successfully propagates initial conditions in continuous time steps by employing the general composition properties of the partial differential operators.
1 code implementation • ICLR 2022 • Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf
This way, the obtained representations are naturally disentangled.
no code implementations • 24 Feb 2021 • JoonHo Kim, Yaron Oz
We consider information spreading measures in randomly initialized variational quantum circuits and introduce entanglement diagnostics for efficient variational quantum/classical computations.