Mathematics

Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging AISTATS 2025 Eliminating Majority Illusion Is Easy AAAI 2025 Emergence of meta-stable clustering in mean-field transformer models ICLR 2025 Empirical Error Estimates for Graph Sparsification AISTATS 2025 Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations AISTATS 2025 Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions ICLR 2025 Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion IJCAI 2025 Epistemic EFX Allocations Exist for Monotone Valuations AAAI 2025 Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025 Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025 Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs UAI 2025 Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices AISTATS 2025 Estimation of Large Zipfian Distributions with Sort and Snap AISTATS 2025 Estimation of Local Geometric Structure on Manifolds from Noisy Data JMLR 2025 Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem IJCAI 2025 Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence ICML 2025 Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements ICML 2025 Expected Sliced Transport Plans ICLR 2025 Exploiting Echo Path Priors for Enhanced Stereo Acoustic Echo Cancellation Interspeech 2025 Exploiting Symmetries in MUS Computation AAAI 2025 Extending Mercer's expansion to indefinite and asymmetric kernels ICLR 2025 Extremal graphical modeling with latent variables via convex optimization JMLR 2025 FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference ICML 2025 Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective ICML 2025 Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity ICML 2025