Z. Ringel

发表

Quantized gravitational responses, the sign problem, and quantum complexity

Zohar Ringel, Z. Ringel, D. Kovrizhin, 2017, Science Advances.

Intrinsic sign problems in topological quantum field theories

Adam D. Smith, Z. Ringel, O. Golan, 2020, 2005.05343.

Relevance in the Renormalization Group and in Information Theory pdf

Zohar Ringel, Amit Gordon, Aditya Banerjee, 2020, Physical review letters.

Experimental Observation of Topological States and Adiabatic Pumping in 1D Photonic Quasicrystals

O. Zilberberg, Y. Lahini, Y. Silberberg, 2011 .

Separation of scales and a thermodynamic description of feature learning in some CNNs

Inbar Seroussi, Z. Ringel, 2021, Nature Communications.

Mutual information, neural networks and the renormalization group

Z. Ringel, M. Koch-Janusz, 2017, Nature Physics.

Strong side of weak topological insulators

A. Stern, Yaacov E. Kraus, Z. Ringel, 2011, 1105.4351.

Intrinsic sign problem in fermionic and bosonic chiral topological matter

Z. Ringel, O. Golan, Adam Smith, 2020, 2005.05566.

Statistical Physics through the Lens of Real-Space Mutual Information.

S. Huber, Z. Ringel, M. Koch-Janusz, 2021, Physical review letters.

Four-dimensional quantum Hall effect in a two-dimensional quasicrystal.

Zohar Ringel, Oded Zilberberg, O. Zilberberg, 2013, Physical review letters.

Determining topological order from a local ground-state correlation function

Yaacov E. Kraus, Z. Ringel, 2010, 1010.5357.

Topological States and adiabatic pumping in quasicrystals.

Zohar Ringel, Oded Zilberberg, Yoav Lahini, 2011, Physical review letters.

Learning curves for overparametrized deep neural networks: A field theory perspective

Zohar Ringel, Omry Cohen, Or Malka, 2021 .

Optimal Renormalization Group Transformation from Information Theory

Zohar Ringel, Maciej Koch-Janusz, Sebastian D. Huber, 2018, Physical Review X.

Relevance in the Renormalization Group and in Information Theory

Zohar Ringel, Maciej Koch-Janusz, Amit Gordon, 2020, Physical review letters.

The Z2-anomaly and boundaries of topological insulators

A. Stern, Z. Ringel, 2012, 1212.3796.

Wave functions of symmetry-protected topological phases from conformal field theories

Thomas Scaffidi, Z. Ringel, 2015, 1505.02775.

Hidden order and flux attachment in symmetry-protected topological phases: A Laughlin-like approach

S. Simon, Z. Ringel, 2014, 1410.0318.

Delayed currents and interaction effects in mesoscopic capacitors

Y. Imry, O. Entin-Wohlman, Z. Ringel, 2008, 0807.2717.

Machine learning assisted discovery of exotic criticality in a planar quasicrystal

F. Flicker, S. Huber, Z. Ringel, 2023 .

NV center based nano-NMR enhanced by deep learning

Nati Aharon, Amit Rotem, Liam P. McGuinness, 2018, Scientific Reports.

Learning Curves for Deep Neural Networks: A field theory perspective

Zohar Ringel, Omry Cohen, Or Malka, 2019 .

Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective pdf

Zohar Ringel, Omry Cohen, Or Malka, 2019, ArXiv.

Comment on "Topological equivalence of crystal and quasicrystal band structures"

O. Zilberberg, Yaacov E. Kraus, Z. Ringel, 2013, 1308.2378.

Critical Percolation as a Framework to Analyze the Training of Deep Networks

Zohar Ringel, Rodrigo Andrade de Bem, Z. Ringel, 2018, ICLR.

Compression theory for inhomogeneous systems

F. Flicker, S. Huber, Z. Ringel, 2023, 2301.11934.

A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs pdf

Zohar Ringel, Gadi Naveh, Z. Ringel, 2021, NeurIPS.

Predicting the outputs of finite networks trained with noisy gradients

H. Sompolinsky, Z. Ringel, Oded Ben-David, 2020, ArXiv.

Predicting the outputs of finite deep neural networks trained with noisy gradients.

Haim Sompolinsky, Zohar Ringel, Gadi Naveh, 2020, Physical review. E.

Symmetries and phase diagrams with real-space mutual information neural estimation.

S. Huber, Z. Ringel, M. Koch-Janusz, 2021, Physical review. E.

Mutual information, neural networks and the renormalization group

Z. Ringel, M. Koch-Janusz, 2018, Nature Physics.

Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks

Inbar Seroussi, Z. Ringel, Asaf Miron, 2023, ArXiv.

Droplets of Good Representations: Grokking as a First Order Phase Transition in Two Layer Networks

Inbar Seroussi, Z. Ringel, Noa Rubin, 2023, arXiv.org.

Quantized gravitational responses and the sign problem

Z. Ringel, D. Kovrizhin, 2017, 1704.03880.

Sharp correlations in the ARPES spectra of strongly disordered topological boundary modes

Z. Ringel, 2015, 1509.08464.

Intrinsic sign problems in topological quantum field theories

Z. Ringel, O. Golan, Adam Smith, 2020, Physical Review Research.