Mathematics

NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training CVPR 2026 Node Regression on Latent Position Random Graphs via Local Averaging JMLR 2026 Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations JMLR 2026 Non-Monotonicity in Fair Division of Graphs AAAI 2026 On Condorcet’s Jury Theorem with Abstention AAAI 2026 One Model to Rule Them All: Canonically Gluing Causal Models Along Shared Substructures UAI 2026 Online Subspace Learning on Flag Manifolds for System Identification L4DC 2026 Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding L4DC 2026 On the Exponential Stability of Koopman Model Predictive Control L4DC 2026 On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples AAAI 2026 On the Statistical Query Complexity of Learning Semiautomata: a Random Walk Approach COLT 2026 Optical Flow Matching: Reframing Optical Flow as Continuous Transport Dynamics CVPR 2026 Optimal Bounds for Tyler’s M-Estimator for Elliptical Distributions ALT 2026 Optimal Reconstruction from Linear Queries COLT 2026 Parallelised Differentiable Straightest Geodesics for 3D Meshes CVPR 2026 Persistence Diagrams Estimation of Multivariate Piecewise Hölder-continuous Signals JMLR 2026 PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems L4DC 2026 Phase Transition for Stochastic Block Model with more than $\sqrtn$ Communities COLT 2026 Physics-Informed Neural Operators for Cardiac Electrophysiology L4DC 2026 Precise Performance of Linear Denoisers in The Proportional Regime L4DC 2026 Private Frequency Estimation via Residue Number Systems AAAI 2026 Provably Correct k-Means Clustering of Persistence Diagrams UAI 2026 Public Goods Games in Directed Networks with Constraints on Sharing AAAI 2026 Putting Fair Division on the Map AAAI 2026 Quantum Algorithms for Spectral Sums AAAI 2026