Cover Image

Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cohen, Khen, Glass, Mark, Feder, Meir, Oz, Yaron
Format:	Preprint
Published:	2026
Subjects:	Statistical Mechanics Machine Learning Combinatorics Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Complexity Measure Diagnostics of Ergodic to Many-Body Localization Transition
by: Cohen, Khen, et al.
Published: (2024)

Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems
by: Shem-Ur, Ori, et al.
Published: (2024)

Input Space Mode Connectivity in Deep Neural Networks
by: Vrabel, Jakub, et al.
Published: (2024)

Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
by: Sanokowski, Sebastian, et al.
Published: (2025)

Boltzmann Generators for Condensed Matter via Riemannian Flow Matching
by: Hoffmann, Emil, et al.
Published: (2026)

Learning Beyond Optimization: Stress-Gated Dynamical Regime Regulation in Autonomous Systems
by: Ran, Sheng
Published: (2026)

Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization
by: Del Bono, Luca Maria, et al.
Published: (2025)

Quantum statistics from classical simulations via generative Gibbs sampling
by: Wang, Weizhou, et al.
Published: (2026)

Autonomous Discovery of the Ising Model's Critical Parameters with Reinforcement Learning
by: Man, Hai, et al.
Published: (2026)

Differentiable free energy surface: a variational approach to directly observing rare events using generative deep-learning models
by: Li, Shuo-Hui, et al.
Published: (2026)

Accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks
by: Lanzoni, Daniele, et al.
Published: (2023)

AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning
by: Kanaujia, Vikas, et al.
Published: (2024)

Riemannian Stochastic Interpolants for Amorphous Particle Systems
by: Grenioux, Louis, et al.
Published: (2025)

Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations
by: Christiansen, Henrik, et al.
Published: (2025)

Controlling dynamics of stochastic systems with deep reinforcement learning
by: Mukhamadiarov, Ruslan
Published: (2025)

Estimating Solvation Free Energies with Boltzmann Generators
by: Schebek, Maximilian, et al.
Published: (2025)

Model selection for stochastic dynamics: a parsimonious and principled approach
by: Gerardos, Andonis
Published: (2025)

Statistical Mechanics of Dynamical System Identification
by: Klishin, Andrei A., et al.
Published: (2024)

Spectral Methods in Complex Systems
by: Caravelli, Francesco
Published: (2025)

Local Diffusion Models and Phases of Data Distributions
by: Hu, Fangjun, et al.
Published: (2025)

Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets
by: Cohen, Khen, et al.
Published: (2024)

Fundamentals of quantum Boltzmann machine learning with visible and hidden units
by: Wilde, Mark M.
Published: (2025)

Fermi-Dirac thermal measurements: A framework for quantum hypothesis testing and semidefinite optimization
by: Liu, Nana, et al.
Published: (2026)

Exact solution of asymmetric gelation between three walks on the square lattice
by: Owczarek, Aleksander L, et al.
Published: (2025)

Frozen-corner enumeration of Alternating Sign Matrices
by: Colomo, Filippo, et al.
Published: (2025)

Random Maps with Sociological Flavor
by: Krapivsky, P. L.
Published: (2023)

Arctic curves of the T-system with Slanted Initial Data
by: Di Francesco, Philippe, et al.
Published: (2024)

Limit shapes for Domain-Wall (colored) vertex models
by: Di Francesco, Philippe, et al.
Published: (2025)

Coplanarity of rooted spanning-tree vectors
by: Polettini, Matteo, et al.
Published: (2024)

Forest expansion of two-body partition functions for sparse interaction graphs
by: Caravelli, Francesco
Published: (2020)

The topology of data hides in quantum thermal states
by: Scali, Stefano, et al.
Published: (2024)

Beyond the Power Law: Estimation, Goodness-of-Fit, and a Semiparametric Extension in Complex Networks
by: Jerez-Lillo, Nixon, et al.
Published: (2023)

Effectiveness of Binary Autoencoders for QUBO-Based Optimization Problems
by: Abe, Tetsuro, et al.
Published: (2026)

Learning conformational ensembles of proteins based on backbone geometry
by: Wolf, Nicolas, et al.
Published: (2025)

BoostMD: Accelerating molecular sampling by leveraging ML force field features from previous time-steps
by: Schaaf, Lars L., et al.
Published: (2024)

Dynamical transition in controllable quantum neural networks with large depth
by: Zhang, Bingzhi, et al.
Published: (2023)

Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
by: Casagrande, Heitor P., et al.
Published: (2024)

Phase transition on a context-sensitive random language model with short range interactions
by: Toji, Yuma, et al.
Published: (2026)

Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State Ensembles
by: Rydzewski, Jakub
Published: (2024)

An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
by: Chen, Siyu, et al.
Published: (2025)