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🏛️ The cond-mat.dis-nn Crypt
cond-mat.dis-nn: Where cond-mat.dis-nn papers rest without their code.
165
Total Papers
146
No Code
3
Twilight
16
Has Code
9.7%
Survival Rate
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Glassy nature of the hard phase in inference problems
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Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-Cut
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Deep learning systems as complex networks
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Dreaming neural networks: rigorous results
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Optimization of population annealing Monte Carlo for large-scale spin-glass simulations
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A Max-Sum algorithm for training discrete neural networks
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The spectral dimension of simplicial complexes: a renormalization group theory
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Approximate Survey Propagation for Statistical Inference
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Exploring the Function Space of Deep-Learning Machines
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Comment on "Why does deep and cheap learning work so well?" [arXiv:1608.08225]
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Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
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On the role of synaptic stochasticity in training low-precision neural networks
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Frequency propagation: Multi-mechanism learning in nonlinear physical networks
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Monte Carlo algorithms are very effective in finding the largest independent set in sparse random graphs
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A spin glass model for reconstructing nonlinearly encrypted signals corrupted by noise
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Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition
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Matrix factorization with neural networks
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Noise-augmented Chaotic Ising Machines for Combinatorial Optimization and Sampling
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Analysis of the Relation between Quadratic Unconstrained Binary Optimization (QUBO) and the Spin Glass Ground-State Problem
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Polynomial algorithm for exact calculation of partition function for binary spin model on planar graphs
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Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
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Matrix denoising: Bayes-optimal estimators via low-degree polynomials
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