| A Weighted Kernel Method for Approximation that Adapts to Learned Multivariable StructurearXiv:2609.16606cs.LG | John E. Darges, Laura Weidensager | — | 16 Sept 2026 | — | — | — | — |
| High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid DynamicsarXiv:2609.17101cs.LG | Diana A. Bistrian | — | 16 Sept 2026 | — | — | — | — |
| Physics Informed Random Feature Neural Networks for Solving PDEsarXiv:2609.16406math.NA | Chi-An Chen, Chunyang Liao, Ming Zhong | — | 16 Sept 2026 | — | — | — | — |
| Near-Optimal Nonconvex Matrix CompletionarXiv:2609.17048math.NA | Jian-Feng Cai, Juntao You, Xiliang Lu | — | 16 Sept 2026 | — | — | — | — |
| Learning to Solve Stochastic Controls with Unknown Drifts and Running Rewards: Theory, Algorithms and ConvergencearXiv:2609.14972cs.LG | Gaozhan Wang, Jianfeng Zhang, Jin Ma +1 | — | 15 Sept 2026 | — | — | — | — |
| Resolution-Independent Analysis of Encoder--Decoder Operator Learning via Limiting KernelsarXiv:2609.13798stat.ML | Ding-Xuan Zhou, Jia-Qi Yang, Lei Shi | — | 15 Sept 2026 | — | — | — | — |
| Active Learning with Bayesian Multi-Fidelity Laplace Neural Operators for Oscillatory Parametric PDEsarXiv:2502.00550cs.LG | Bongseok Kim, Guang Lin, Haoyang Zheng +1 | — | 15 Sept 2026 | — | — | — | — |
| Neural Network Operator-Based Fractal Approximation: Smoothness Preservation and Convergence AnalysisarXiv:2505.06229cs.LG | Aaqib Ayoub Bhat, Asif Khan, M. Mursaleen | — | 15 Sept 2026 | — | — | — | — |
| Basic Inequalities for First-Order Optimization with Applications to Statistical Risk AnalysisarXiv:2512.24999math.ST | Kangjie Zhou, Matus Telgarsky, Ryan J. Tibshirani +1 | — | 15 Sept 2026 | — | — | — | — |
| Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain ElastographyarXiv:2607.14193stat.ML | Boyuan Deng, Kshitiz Upadhyay, Michael Shields | — | 15 Sept 2026 | — | — | — | — |
| Quantile-based Loss Filtering for Outlier-Robust Stochastic Gradient DescentarXiv:2609.13040cs.LG | Anna Ma, Elizaveta Rebrova, Jamie Haddock | — | 14 Sept 2026 | — | — | — | — |
| Learning Interaction Kernels from Collective Steady StatesarXiv:2609.12004stat.ML | Baoli Hao, Mauro Maggioni, Ming Zhong | — | 14 Sept 2026 | — | — | — | — |
| Inference for Newton Methods with Accelerated Sketch-and-Project via Random ScalingarXiv:2609.12421stat.ML | Elizaveta Rebrova, Micha{\l} Derezi\'{n}ski, Sen Na +1 | — | 14 Sept 2026 | — | — | — | — |
| Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic ModelsarXiv:2506.13061cs.LG | Daniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang Lin | — | 14 Sept 2026 | — | — | — | — |
| Nonlinear Dimensionality Reduction Techniques for Bayesian OptimizationarXiv:2510.15435math.OC | Coralia Cartis, Luo Long, Paz Fink Shustin | — | 14 Sept 2026 | — | — | — | — |
| Deep learning methods for inverse problems using connections between proximal operators and Hamilton-Jacobi equationsarXiv:2512.23829math.NA | Akwum Onwunta, Gabriel P. Langlois, Oluwatosin Akande | — | 14 Sept 2026 | — | — | — | — |
| Monotone Neural Policy Iteration for High-Dimensional First-Order Hamilton--Jacobi--Bellman EquationsarXiv:2605.07116cs.LG | Minseok Kim, Yeongjong Kim, Namkyeong Cho +1 | — | 12 Sept 2026 | — | — | — | — |
| A variational physics-informed graph neural network for heterogeneous solid mechanicsarXiv:2609.10983math.NA | Aashay Rajan Yadav, Amiya Prakash Das, Ratna Kumar Annabattula | — | 11 Sept 2026 | — | — | — | — |
| Deep operator learning for efficient sampling from invariant measures of stochastic differential equationsarXiv:2609.11376math.NA | Lin Guo, Li Lei, Jingtong Zhang | — | 11 Sept 2026 | — | — | — | — |
| Autonomous-Flow-Based GenerationarXiv:2511.09902cs.LG | Hossein Rouhvarzi, Anastasis Kratsios | — | 11 Sept 2026 | — | — | — | — |
| Semidefinite Programming for Quantum Channel LearningarXiv:2601.12502cs.LG | Mikhail Gennadievich Belov, Victor Victorovich Dubov, Vadim Konstantinovich Ivanov +2 | — | 11 Sept 2026 | — | — | — | — |
| Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy GradientsarXiv:2403.19448math.OC | Johannes M\"uller, Semih \c{C}ayc{\i}, Guido Mont\'ufar | — | 11 Sept 2026 | — | — | — | — |
| Configuration-Dependent Lower Bounds for Approximation by Shallow ReLU$^k$ Networks on the SpherearXiv:2510.04060math.NA | Tong Mao, Jinchao Xu | — | 11 Sept 2026 | — | — | — | — |
| Support Discovery With Iteratively Reweighted Least Squares for Fixed-Charge Network FlowarXiv:2609.09295math.OC | Sindura Saraswathi, Christian K\"ummerle | — | 11 Sept 2026 | — | — | — | — |
| Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM ApproacharXiv:2609.04028cs.CE | Giacomo Rizzieri, Saif-Ur-Rehman, J\"org F. Unger +1 | — | 11 Sept 2026 | — | — | — | — |