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Mean-field theory for certain large convex optimization problems

1. Simplified derivations for high-dimensional convex learning problems associated with statistical learning Authors: David G. Clark, and Haim Sompolinsky arXiv.2412.01110, DOI: 10.48550/arXiv.2412.01110 2. Memorizing without overfitting: Bias, variance, and interpolation in overparameterized models Authors: Jason W. Rocks, and Pankaj Mehta Phys. Rev. Research 4, 013201 (2022), DOI: 10.1103/PhysRevResearch.4.013201 Recommended with a commentary by Anirvan M. […]

Understanding chaos and diversity in complex ecosystems – insights from statistical physics

1. Many-Species Ecological Fluctuations as a Jump Process from the Brink of Extinction Authors: Thibaut Arnoulx de Pirey and Guy Bunin Phys. Rev. X 14, 011037 (2024) DOI: https://doi.org/10.1103/PhysRevX.14.011037 2. Spatiotemporal ecological chaos enables gradual evolutionary diversification without niches or tradeoffs Authors: Aditya Mahadevan, Michael T Pearce, and Daniel S Fisher eLife 12:e82734 (2023) DOI: […]

Organizers, Advisory Committee, and Correspondents in the last two years

Organizers: Alexander GrosbergNew York University Chandra M. Varma, Chief organizerEmeritus, University of California, Riverside Advisory Committee: Paul Chaikin, NYU Steven Girvin, Yale University Andrew Millis, Columbia University Correspondents in the last two years: Ram M. Adar, Technion – Israel Institute of Technology | View Contributions | Daniel F. Agterberg , University of Wisconsin – Milwaukee […]

Nonequilibrium Transport in Quantum Impurity Models: The Bethe Ansatz for Open Systems

Authors: Pankaj Mehta and Natan Andrei http://ArXiv.org/cond-mat/0508026 Phys. Rev. Lett. Vol. 96, 216802 (2006) Recommended and Commentary by Peter Woelfle, University of Karlsruhe. | View Commentary (pdf) | (JCCM_August06_03)

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