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Theory

1,082 papers

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Papers

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025
Activation Subspaces for Out-of-Distribution Detection ICCV 2025
Improving Rectified Flow with Boundary Conditions ICCV 2025
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint IJCAI 2025
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) IJCAI 2025
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025
DRM Revisited: A Complete Error Analysis JMLR 2025
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025
Finite Expression Method for Solving High-Dimensional Partial Differential Equations JMLR 2025
Scaling Capability in Token Space: An Analysis of Large Vision Language Model JMLR 2025
Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025
Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025
O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025
Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025
Extracting and Understanding the Superficial Knowledge in Alignment NAACL 2025
Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization NIPS 2024
Weight decay induces low-rank attention layers NIPS 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NIPS 2024
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NIPS 2024
Graph Neural Networks and Arithmetic Circuits NIPS 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis NIPS 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NIPS 2024
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks NIPS 2024