Key papers

• Error-Conditioned Neural Solvers (2026)
  Haina Jiang et al.
  5.44
• Revisiting Euler-Angle Regression with Kolmogorov-Arnold Networks (2026)
  Yangting Sun et al.
  5.01
• Distributional Matching for Vector Quantization: A Unified Theoretical and Empirical Framework (2026)
  Xianghong Fang et al.
  5.01
• ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization (2026)
  Kaiyuan Tang et al.
  5.01
• Physics Closure Matters for Machine Olfaction: A Maxwell-Stefan Graph Solver for Identifiable Dynamic Gas Unmixing (2026)
  Yue Shi et al.
  5.01
• Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform (2026)
  Zhongchen Zhao et al.
  5.01
• On the stability of scale-space metrics (2026)
  William Leeb
  4.95
• Symmetry-Structured Neural Completion of Islamic Geometric Patterns from Sparse Control Geometry (2026)
  Hassan Ugail et al.
  4.39
• Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights (2026)
  Naoya Chiba et al.
  4.39
• Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks (2026)
  Yoshihiro Maruyama
  4.39
• $\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse (2026)
  Girum Demisse
  4.39
• All you need is SAMPAT (2026)
  Jayadeva et al.
  4.39
• Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design (2026)
  Wenhao Fan et al.
  4.39
• Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models (2026)
  Peng Xia et al.
  4.39
• FastCentNN: Accelerating Centroid Neural Network with Entropy Proxy (2026)
  Le-Anh Tran
  4.39
• Formalizing Numerical Analysis: An Agent Pipeline and Quality Audit Beyond Kernel Acceptance (2026)
  Theodore Meek et al.
  4.33
• Tensorion: A Tensor-Aware Generalization of the Muon Optimizer (2026)
  Vladimir Bogachev et al.
  4.33
• Nonlinear mixture model motivated subspace clustering (2026)
  Ivica Kopriva
  4.33
• Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer (2026)
  Zikang Yan et al.
  4.33
• NURBS Splatting: A Unified Differentiable Rendering Framework for Vector Graphics (2026)
  Jingye Qiu et al.
  4.33
• Online TT-ALS for Streaming Tensor Decomposition with Incremental Orthogonalization (2026)
  Hiroki Takeda et al.
  3.45
• Gefen: Optimized Stochastic Optimizer (2026)
  Nadav Benedek et al.
  1.94
• TriP: A Triangle Puzzle Approach to Robust Translation Averaging (2026)
  Zhekai Fan et al.
  1.89
• Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning (2026)
  Aristotelis Ballas et al.
  1.89
• Adaptive Local Frequency Filtering for Fourier-Encoded Implicit Neural Representations (2026)
  Ligen Shi et al.
  1.83
• Neural Network Pruning via QUBO Optimization (2026)
  Osama Orabi et al.
  1.83
• Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems (2026)
  Leyla Roksan Caglar et al.
  1.78
• TenExp: Mixture-of-Experts-Based Tensor Decomposition Structure Search Framework (2026)
  Ting-Wei Zhou et al.
  1.78
• Gabor Fields: Orientation-Selective Level-of-Detail for Volume Rendering (2026)
  Jorge Condor et al.
  1.72
• The Laplacian Mechanism Improves Transformers by Reshaping Token Geometry (2026)
  Yuchong Zhang and Vardan Papyan
  1.72
• Stability and Concentration in Nonlinear Inverse Problems with Block-Structured Parameters: Lipschitz Geometry, Identifiability, and an Application to Gaussian Splatting (2026)
  Joe-Mei Feng et al.
  1.72
• Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings (2026)
  Laura Paul et al.
  1.72
• NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training (2026)
  Dengdi Sun et al.
  1.72
• Renormalization Group Guided Tensor Network Structure Search (2025)
  Maolin Wang et al.
  1.61
• Hyperbolic Optimal Transport (2025)
  Yan Bin Ng and Xianfeng Gu
  1.56
• Deep Neural Networks Inspired by Differential Equations (2025)
  Yongshuai Liu et al.
  1.50
• Note on the Construction of Structure Tensor (2025)
  Josef Bigun and Fernado Alonso-Fernandez
  1.50
• L-SR1: Learned Symmetric-Rank-One Preconditioning (2025)
  Gal Lifshitz et al.
  1.39
• Creating Sorted Grid Layouts with Gradient-based Optimization (2025)
  Kai Uwe Barthel et al.
  1.11
• FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization (2025)
  Zhanhong Jiang et al.
  1.11
• Certifiably Optimal Anisotropic Rotation Averaging (2025)
  Carl Olsson et al.
  1.11
• A novel non-convex minimax $p$-th order concave penalty function approach to low-rank tensor completion (2025)
  Hongbing Zhang and Bing Zheng
  1.06
• An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and Nonsmooth Programming (2017)
  Yiyang Wang et al.
  —
• A clever elimination strategy for efficient minimal solvers (2017)
  Zuzana Kukelova et al.
  —
• Low-rank and Sparse NMF for Joint Endmembers' Number Estimation and Blind Unmixing of Hyperspectral Images (2017)
  Paris V. Giampouras et al.
  —
• Least square ellipsoid fitting using iterative orthogonal transformations (2017)
  Amit Reza et al.
  —
• Isomorphism between Differential and Moment Invariants under Affine Transform (2017)
  Erbo Li and Hua Li
  —
• Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems (2017)
  Daiki Ikami et al.
  —
• Decorrelation of Neutral Vector Variables: Theory and Applications (2017)
  Zhanyu Ma et al.
  —
• Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure (2018)
  Ying Lu et al.
  —
• Statistically Motivated Second Order Pooling (2018)
  Kaicheng Yu et al.
  —
• Convolutional Neural Networks combined with Runge-Kutta Methods (2018)
  Mai Zhu et al.
  —
• Local Kernels that Approximate Bayesian Regularization and Proximal Operators (2018)
  Frank Ong and Peyman Milanfar and Pascal Getreuer
  —
• A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training (2018)
  Viacheslav Dudar et al.
  —
• A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability (2018)
  Ricardo Augusto Borsoi et al.
  —
• On the role of ML estimation and Bregman divergences in sparse representation of covariance and precision matrices (2018)
  Branko Brklja\v{c} and \v{Z}eljen Trpovski
  —
• Fast High-Dimensional Bilateral and Nonlocal Means Filtering (2018)
  Pravin Nair and Kunal. N. Chaudhury
  —
• Solving Jigsaw Puzzles By the Graph Connection Laplacian (2018)
  Vahan Huroyan et al.
  —
• Bilinear Parameterization For Differentiable Rank-Regularization (2018)
  Marcus Valtonen \"Ornhag and Carl Olsson and Anders Heyden
  —
• Simple stopping criteria for information theoretic feature selection (2018)
  Shujian Yu and Jose C. Principe
  —