Key papers

• PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling (2026)
  Varvara Nazarenko et al.
  4.39
• A Physics-Informed Neural Network Framework for Elastodynamic Wave Propagation in Bimaterial Systems (2026)
  Sonal Ankush Chibire et al.
  4.39
• GES-TSP: Graph Edge Sparsification for TSP (2026)
  Tianfeng Chen et al.
  4.39
• Instruction Set and Language for Hypergraphs (2026)
  Mario Pascual-Gonzalez et al.
  4.39
• A Hyperbolic Neural Closure for M1 Radiation Transfer (2026)
  Bongseok Kim et al.
  4.39
• Beyond Coordinate Gauge: An Audited Protocol for Detecting Donor-Specific Functional Fingerprints after Neural Collapse (2026)
  Truong Xuan Khanh et al.
  4.39
• Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance (2026)
  Zixuan Shen (Central South University) et al.
  4.39
• Contraction-Gauge Preconditioning for Quantized Matrix Multiplication (2026)
  Piyush Sao et al.
  4.39
• An Explicit Counterexample to Stanley's Rankwise Lower-Bound Conjecture for Differential Posets (2026)
  Xinan Dai et al.
  4.39
• On the convergence of graph Laplacians with a symmetric divergence (2026)
  Liane Xu
  3.51
• Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion (2026)
  Shervin Khalafi et al.
  3.51
• Boundary-Adapted PINNs for Elliptic Dirichlet Problems: $H^2(\Omega)$ A Priori Error Bounds with Application to Mean Escape Time Computation (2026)
  Nathanael Tepakbong et al.
  3.51
• 1-Lipschitz Neural Networks on Hadamard Manifolds (2026)
  Davide Murari et al.
  3.51
• EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy (2026)
  Wenxiu Ding et al.
  2.00
• Steering topology distributions for unified generative design of architected metamaterials (2026)
  Haolin Li et al.
  2.00
• DDSNet: Dual-domain Symmetry-aware Network for PCSEL Property Prediction (2026)
  Cen Chen et al.
  2.00
• Dual-Level Atomic and Coordination Geometry Learning for Crystal Property Prediction Using Graph Neural Networks (2026)
  Sanjay Chakraborty
  2.00
• Mechanisms of Width Scaling in Normalized Residual Networks: The Effective Alignment Dimension (2026)
  Jinhao Zhang et al.
  2.00
• Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms (2026)
  Michael P\"urrer et al.
  2.00
• Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method (2026)
  Stephan Wojtowytsch
  2.00
• A Riemannian View on Active Subspaces (2026)
  Zachary Grey
  2.00
• CondPSE: A Polynomial-Filtered Structural Encoder with Conditional Modulation for Graphs (2026)
  Woohyun Lee et al.
  2.00
• Algorithmic Separation between Constant-Depth and Logarithmic-Depth Neural Networks (2026)
  Yunwei Ren et al.
  2.00
• HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks (2026)
  Phan Binh Nguyen Lam et al.
  2.00
• Normalizing Flows to Reconstruct Pseudo-PDFs (2026)
  Yamil Cahuana Medrano et al.
  2.00
• Physics-Informed Neural Operator for Warm-Starting Background-Decomposed and Preconditioned PSFD: Enabling Scalable 3-D EUV Mask Simulation (2026)
  Doyun Kim et al.
  2.00
• Dual-Domain Manifold Modeling for Hyperspectral Image Fusion (2026)
  Chengxin Xie et al.
  2.00
• Learned, Relied Upon, or Necessary? Separating Checkpoint Dependence from Task-Level Value in Sheaf GNNs (2026)
  Yi Liu
  2.00
• Quotient Dynamics, Effective Curvature, and Implicit Bias in Positive Quadratic Networks (2026)
  Pengcheng Cheng
  2.00
• SpectONet: A Physics-Guided Spectral Deep Operator Network for Euler-Bernoulli Beam Dynamics (2026)
  Shivani Saini et al.
  2.00
• The Barron-Lipschitz Energy Gap and Depth Separation Phenomena in Scientific Machine Learning (2026)
  Nima Rezaei et al.
  2.00
• Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging (2026)
  Christopher Hahne
  2.00
• Sharpness-Aware Minimization and Muon: Robustness under the Spectral Norm (2026)
  Wenzhi Zhong et al.
  2.00
• Neural Networks Provably Learn Spectral Representations for Group Composition (2026)
  Jianliang He et al.
  1.94
• Wall Shear Stress Reconstruction from Concentration: Differentiable Physics and Physics-Informed Neural Networks (2026)
  Mahmoud Elhadidy et al.
  1.94
• PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing (2026)
  Bhavya Kohli et al.
  1.78
• Gradient Networks for Universal Magnetic Modeling of Synchronous Machines (2026)
  Junyi Li et al.
  1.72
• AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation (2026)
  Rong Fu et al.
  1.72
• Machine Learning the H-theorem (2025)
  Ruben Lier
  1.39
• On the Convergence Analysis of Muon (2025)
  Wei Shen et al.
  1.22