Mathematics

Diffusion-Network Alignment: An Efficient Algorithm and Explicit Probability Bounds COLT 2026 Discounted Cuts: A Stackelberg Approach to Network Disruption AAAI 2026 Diversity of Structured Domains via k-Kemeny Scores AAAI 2026 Dual Band Thermal Videography: Separating Time-Varying Reflection and Emission Near Ambient Conditions CVPR 2026 Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields CVPR 2026 ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees L4DC 2026 Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors JMLR 2026 Efficient Learning and Symmetry Discovery under Exact Invariances COLT 2026 Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems L4DC 2026 EFX and PO Allocation Exists for Two Types of Goods AAAI 2026 Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data COLT 2026 End-to-End Deep Learning for Predicting Metric Space-Valued Outputs JMLR 2026 Exact and Approximate Maximin Share Allocations in Multi-Graphs AAAI 2026 Exclusion Zones of Instant Runoff Voting AAAI 2026 Faster Symmetry Breaking Constraints for Abstract Structures AAAI 2026 FILTR: Extracting Topological Features from Pretrained 3D Models CVPR 2026 Finding Diverse Solutions Parameterized by Cliquewidth AAAI 2026 Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation CVPR 2026 Fourier Angle Alignment for Oriented Object Detection in Remote Sensing CVPR 2026 Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification L4DC 2026 FPT Approximation Algorithms for TSP on Non-Metric Graphs AAAI 2026 FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes CVPR 2026 Functional Mean Flow in Hilbert Space CVPR 2026 Global Focal and Radial Distortion Averaging from Radial Fundamental Matrices for Robust Self-Calibration WACV 2026 Global Fréchet Manifold Learning for Random Objects, With Application to Low-Dimensional Wasserstein Representations of Distributional Data JMLR 2026