Key papers

• Self-Organized Learning in Oscillatory Neural Networks with Memristive Signed Couplings (2026)
  Riley Acker et al.
  5.01
• LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms (2026)
  Georgios Laskaris et al.
  5.01
• Targeted Recovery of Weight-Space Mechanisms From Neural Networks (2026)
  Antoine Vigouroux et al.
  4.39
• DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales (2026)
  Kaihui Cheng et al.
  4.39
• Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning (2026)
  Jingdong Zhang et al.
  4.39
• Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints (2026)
  Patrick Inoue et al.
  4.39
• Multiplicity of Stable Attractors in Disordered Neural Models (2026)
  Raffaele Marino et al.
  3.51
• Learning the Brain's Dynamics as a Port-Hamiltonian System: A GNN-Surrogate Metriplectic Twin for Non-Equilibrium Cortical Dynamics and Closed-Loop Neuromodulation (2026)
  Dibakar Sigdel
  2.00
• Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography (2026)
  Boyuan Deng et al.
  2.00
• FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers (2026)
  Peiyu Zang et al.
  2.00
• Graph-Theoretic Neural Network Fragmentation with Covariant Direct Molecular Force Learning: Enabling Coupled-Cluster Accuracy AIMD for Fluxional Systems (2026)
  Xiao Zhu et al.
  2.00
• Natural Invariant Measures for Chaotic Game Dynamics: Finding Order in Chaos (2026)
  Jakub Bielawski et al.
  2.00
• Reconstruction of Enhanced Causal Omnidirectional Network (RECON) (2026)
  Praveen Niranda et al.
  2.00
• Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression (2026)
  Charles Brum et al.
  2.00
• Generalized Neural Operator for Parametric and Boundary-Value Problems (2026)
  Ruoyan Li et al.
  2.00
• Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers (2026)
  Zhangyong Liang et al.
  2.00
• Curly Hair Simulation using Curly Finite Elements (2026)
  Xinming Pei et al.
  2.00
• Latent PDE mapping for efficient physics-informed learning across geometries with limited data (2026)
  Ingvild Askim Adde et al.
  2.00
• Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks (2026)
  Masahiro Tanaka
  2.00
• Universal BCI Personalization: One API for Frozen EEG Trunks and Foundation Models (2026)
  Sergey Musienko
  2.00
• Learning Ergodic Dynamical Systems from a Finite Trajectory (2026)
  Oleksii Kachaiev et al.
  2.00
• Hyperball May Not Be a Free Lunch (2026)
  Yihao Xiao et al.
  2.00
• Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes (2026)
  Athanasios Papastathopoulos-Katsaros et al.
  2.00
• A General Framework for Learning Algebraic Properties from Cayley Graphs using Graph Neural Networks (2026)
  Tal Weissblat
  1.94
• Geometry-Conditioned Fourier Neural Operators for Cubic Nonlinear Schrodinger Dynamics on Periodic Domains (2026)
  Emmanuel E. Oguadimma et al.
  1.94
• Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation (2025)
  Jean Barbier et al.
  1.50
• Statistical mechanics of extensive-width Bayesian neural networks near interpolation (2025)
  Jean Barbier et al.
  1.22
• Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders (2017)
  Sebastian Johann Wetzel
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