Cover Image

Structure of solutions to continuous constraint satisfaction problems through the statistics of wedged and inscribed spheres

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kent-Dobias, Jaron
Format:	Preprint
Published:	2025
Subjects:	Disordered Systems and Neural Networks Statistical Mechanics Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the topology of solutions to random continuous constraint satisfaction problems
by: Kent-Dobias, Jaron
Published: (2024)

Algorithm-independent bounds on complex optimization through the statistics of marginal optima
by: Kent-Dobias, Jaron
Published: (2024)

Very persistent random walkers reveal transitions in landscape topology
by: Kent-Dobias, Jaron
Published: (2025)

Conditioning the complexity of random landscapes on marginal optima
by: Kent-Dobias, Jaron
Published: (2024)

Arrangement of nearby minima and saddles in the mixed spherical energy landscapes
by: Kent-Dobias, Jaron
Published: (2023)

When is the average number of saddle points typical?
by: Kent-Dobias, Jaron
Published: (2023)

Finding the right path: statistical mechanics of connected solutions in constraint satisfaction problems
by: Barbier, Damien
Published: (2025)

Sampling the space of solutions of an artificial neural network
by: Zambon, Alessandro, et al.
Published: (2025)

Gaussian mixtures and non-parametric likelihoods through the lens of statistical mechanics
by: Ghosh, Subhroshekhar, et al.
Published: (2026)

Correlation thresholds in the steady states of particle systems and spin glasses
by: Calvert, Jacob, et al.
Published: (2025)

Diffusive geodesics wandering in networks of rigid chains
by: Marquis, Ulysse
Published: (2025)

Variational representation and estimates for the free energy of a quenched charged polymer model
by: Poisat, Julien
Published: (2025)

Dynamic Space Filling
by: Krapivsky, P. L.
Published: (2025)

Dynamic Space Packing
by: Dandekar, Rahul, et al.
Published: (2023)

Tensor-Network Population Annealing
by: Oshima, Takumi, et al.
Published: (2026)

Inhomogeneous random graphs with infinite-mean fitness variables
by: Avena, Luca, et al.
Published: (2022)

Some observations on the ambivalent role of symmetries in Bayesian inference problems
by: Semerjian, Guilhem
Published: (2025)

Damage spreading and coupling in spin glasses and hard spheres
by: Hukushima, Koji, et al.
Published: (2024)

Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition
by: Bae, Stefano, et al.
Published: (2025)

Orthogonal projections of hypercubes
by: Horiike, Yoshiaki, et al.
Published: (2025)

Supervised and unsupervised learning of the many-body critical phase, phase transitions, and critical exponents in disordered quantum systems
by: Ahmed, Aamna, et al.
Published: (2025)

Non-parametric learning critical behavior in Ising partition functions: PCA entropy and intrinsic dimension
by: Panda, Rajat K., et al.
Published: (2023)

Gaussian approximation of dynamic cavity equations for linearly-coupled stochastic dynamics
by: Tarabolo, Mattia, et al.
Published: (2024)

Principal component analysis of absorbing state phase transitions
by: Muzzi, Cristiano, et al.
Published: (2024)

Long-range spectral statistics of the Rosenzweig-Porter model
by: Buijsman, Wouter
Published: (2023)

Empirical universality and non-universality of local dynamics in the Sherrington-Kirkpatrick model
by: Liu, Grace, et al.
Published: (2025)

The stochastic porous medium equation in one dimension
by: Bernard, Maximilien, et al.
Published: (2025)

Large deviations of spectral determinants of matrix-valued random Schrödinger operators and Dyson Brownian motion in cubic potentials
by: Fyodorov, Yan, et al.
Published: (2025)

Spectral Density and Eigenvector Nonorthogonality in Complex Symmetric Random Matrices
by: Akemann, Gernot, et al.
Published: (2025)

Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
by: Ricci, Fabiola, et al.
Published: (2025)

Free energy equivalence between mean-field models and nonsparsely diluted mean-field models
by: Okuyama, Manaka, et al.
Published: (2024)

Griffiths inequalities and Gibbs-Bogoliubov inequality for general gauge glasses with Gaussian disorder on Nishimori line
by: Okuyama, Manaka, et al.
Published: (2026)

A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights
by: Ricci, Fabiola, et al.
Published: (2026)

Simple evolving random graphs
by: Krapivsky, P. L.
Published: (2023)

Griffiths-type theorems for short-range spin glass models
by: Itoi, Chigak, et al.
Published: (2023)

Anomalous scaling of heterogeneous elastic lines: a new picture from sample to sample fluctuations
by: Bernard, Maximilien, et al.
Published: (2023)

First return times on sparse random graphs
by: Evnin, Oleg, et al.
Published: (2024)

Matrix-Product Belief Propagation for continuous-state-space variables
by: Florio, Federico, et al.
Published: (2026)

Investigating Stark many-body localization with continuous unitary transformation flows
by: Herre, Jan-Niklas, et al.
Published: (2024)

Information content in continuous attractor neural networks is preserved in the presence of moderate disordered background connectivity
by: Kühn, Tobias, et al.
Published: (2023)