Key papers

• Inferring Higher-Order Couplings with Neural Networks (2025)
  Aur\'elien Decelle et al.
  5.79
• Neural Network Learning of One-Bit Protocols for Qubit Measurement Simulation (2026)
  Josep Escrig et al.
  5.01
• Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity (2026)
  Vincent Granville
  4.39
• The Seriality Gap in Video Diffusion Models (2026)
  Jorge Diaz Chao et al.
  4.39
• Information Compression at Criticality (2026)
  Simon Jiricek et al.
  4.39
• Free energy landscape of Dense Associative Memory (2026)
  Sumedha et al.
  4.39
• Statistical properties of quadrangular surfaces (2026)
  Hrant Topchyan et al.
  4.39
• Scaling universal Fermi network toward ground states: A diffusion-Monte-Carlo assessment (2026)
  Yu-Sheng Li et al.
  4.39
• Phase transitions in swarm optimization algorithms (2025)
  Tom\'a\v{s} Vantuch et al.
  4.36
• Generative Pseudo-Force Fields for Molecular Generation (2026)
  Stefaan Simon Pierre Hessmann et al.
  4.20
• High-entropy Advantage in Neural Networks' Generalizability (2025)
  Entao Yang et al.
  3.64
• The Ramsey community number as a renormalization-group crossing (2026)
  Alexei Vazquez
  3.51
• Separation Capacity of Scattering Networks on Low-Dimensional Datasets (2026)
  Konstantin H\"aberle et al.
  3.51
• Learning the Graphical Nature of Symmetries (2026)
  Rashid Barket et al.
  3.51
• Nishimori Threshold Estimation for Bayesian Inference and $\mathbb{Z}_q$ Surface Code Decoding (2026)
  Rohit Mukherjee et al.
  3.51
• Efficient quantum transport in disordered Floquet networks (2026)
  Hl\'er Kristj\'ansson et al.
  3.51
• Strongly-connected percolation on directed lattices (2026)
  M. E. J. Newman et al.
  3.51
• Phase Transitions and Order Parameters in Correlation Matrices: A Wishart-Ensemble Perspective on the Largest Eigenvalue (2026)
  Roberto da Silva et al.
  3.51
• From real polymers to random graphs: percolation thresholds in associative polymer solutions (2026)
  Xinxiang Chen et al.
  3.51
• Absence of poor local minima in matrix product states (2026)
  Hao-Kai Zhang et al.
  3.45
• Observation of associative-memory retrieval and spin-glass phases on a photonic quantum simulator (2026)
  Taira Giordani et al.
  3.39
• Is Grokking a Computational Glass Relaxation? (2025)
  Xiaotian Zhang et al.
  2.82
• Thermodynamics of Quantum Reservoir Computing (2026)
  Lixiang Ding et al.
  2.00
• Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks (2026)
  Junrui Zhang et al.
  2.00
• Driven criticality links universal computation and optimal representations (2026)
  Adri\'an Roig et al.
  2.00
• A Foundational Perspective for Partitional Clustering on Networks (2026)
  Derya Ipek Eroglu et al.
  2.00
• Algorithmic Separation between Constant-Depth and Logarithmic-Depth Neural Networks (2026)
  Yunwei Ren et al.
  2.00
• Normalizing Flows to Reconstruct Pseudo-PDFs (2026)
  Yamil Cahuana Medrano et al.
  2.00
• Neural Networks Provably Learn Spectral Representations for Group Composition (2026)
  Jianliang He et al.
  1.94
• Practical Quantum Advantage before Fault Tolerance via Quantum-Informed Machine Learning (2026)
  Maida Wang et al.
  1.94
• Topological Codes from Space Groups: A Route beyond Translation Invariance (2026)
  Chong-Yuan Xu et al.
  1.94
• Towards Spectroscopy: Susceptibility Clusters in Language Models (2026)
  Andrew Gordon et al.
  1.67
• Machine Learning the H-theorem (2025)
  Ruben Lier
  1.39
• Diffusion-model approach to flavor models: A case study for $S_4^\prime$ modular flavor model (2025)
  Satsuki Nishimura et al.
  1.17
• Classifying Topological Charge in SU(3) Yang-Mills Theory with Machine Learning (2019)
  Takuya Matsumoto et al.
  —
• Quantum Optical Experiments Modeled by Long Short-Term Memory (2019)
  Thomas Adler et al.
  —
• Quantum Phase Recognition using Quantum Tensor Networks (2022)
  Shweta Sahoo et al.
  —
• Unsupervised hierarchical clustering using the learning dynamics of RBMs (2023)
  Aur\'elien Decelle et al.
  —
• Why does dissolving salt in water decrease its dielectric permittivity (2023)
  Chunyi Zhang et al.
  —
• Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties (2023)
  Wei Lu et al.
  —
• Quantum circuit synthesis with diffusion models (2023)
  Florian F\"urrutter et al.
  —
• High-dimensional order parameters and neural network classifiers applied to amorphous ices (2023)
  Zo\'e Faure Beaulieu et al.
  —
• Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments (2024)
  Koji Hashimoto et al.
  —