68t07

Documents about 68t07

• Cartan flow matching#674391arXiv (OAI Expanded)
• Cartan flow matching#677590arXiv (All)
• Approximability of deep computations#987383arXiv (All)
• On the Euclidean Distance Degree of Shallow Polynomial Networks#925904arXiv (All)
• Neuro-Causal Factor Analysis#663928arXiv (OAI Expanded)
• Neuro-Causal Factor Analysis#665428arXiv (All)
• Geometric multiscale analysis via nonstationary subdivision schemes#974209arXiv (All)
• A concentration result for multilayer feedforward neural networks#614338arXiv (OAI Expanded)
• A concentration result for multilayer feedforward neural networks#615305arXiv (All)
• A Learnable Multigrid Framework via Graph Convolutions#789301arXiv (OAI Expanded)
• A Learnable Multigrid Framework via Graph Convolutions#793305arXiv (All)
• Autoencoders in Function Space#799823arXiv (All)
• Supplementary Materials to Graph Convolutional Branch and Bound#172189arXiv Biology
• Supplementary Materials to Graph Convolutional Branch and Bound#173205arXiv (OAI)
• Supplementary Materials to Graph Convolutional Branch and Bound#173455arXiv (OAI Expanded)
• Supplementary Materials to Graph Convolutional Branch and Bound#174033arXiv
• Relational Representation Distillation#820149arXiv (All)
• Sandwich Slice: Optimal Transport Potentials Are Optimal Generalized Slicers#972751arXiv (All)
• Generalizing Adam to Manifolds for Efficiently Training Transformers#1011951arXiv (All)
• Towards a mathematical theory of superposition#779475arXiv (OAI Expanded)
• Towards a mathematical theory of superposition#780850arXiv (All)
• Investigating Statistical Inference and Covariate Effects in Shallow Neural Networks#799813arXiv (All)
• Diffusion Based Unpaired Data Learning for Inverse Problems#821310arXiv (All)
• Correlated initialization of deep residual networks#926493arXiv (All)
• Hard-constrained Physics-informed Neural Networks for Interface Problems#1013544arXiv (All)
• Efficient Preimage Approximation for Neural Network Certification#183246arXiv (OAI)
• Mixture of experts surrogate model for the homogenization of open-porous materials#609232arXiv (OAI Expanded)
• Iso-Riemannian Optimization on Learned Data Manifolds#609831arXiv (All)
• Scale-Consistent Posterior Dynamics for Diffusion Inverse Problems#611093arXiv (OAI Expanded)
• Scale-Consistent Posterior Dynamics for Diffusion Inverse Problems#612570arXiv (All)
• A posteriori certification of PDE approximations with particular application to neural networks#682438arXiv (OAI Expanded)
• A posteriori certification of PDE approximations with particular application to neural networks#684213arXiv (All)
• Selective boundary condition reduction via learned error gating#985814arXiv (All)
• Dead Directions: Geometric Singular Learning#996911arXiv (All)
• Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees#617454arXiv (OAI Expanded)
• Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees#617954arXiv (All)
• Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography#633269arXiv (OAI Expanded)
• Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography#635618arXiv (All)
• The role of parameter Jacobians in the stability of network outputs#779668arXiv (OAI Expanded)
• The role of parameter Jacobians in the stability of network outputs#781043arXiv (All)
• CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices#984918arXiv (All)
• Beyond Depth Truncation: Controlled Evaluation of Depth Utilization in Recursive Language Models#1014979arXiv (All)
• Rapid training of Hamiltonian graph networks using random features#144305arXiv (OAI)
• Adaptive Randomized Neural Networks with Locally Activation Function: Theory and Algorithm for Solving PDEs#609905arXiv (All)
• A Distributional Robustness Margin For Pathology Foundation Models#650959arXiv (OAI Expanded)
• A Distributional Robustness Margin For Pathology Foundation Models#652412arXiv (All)
• Grassmann--Plücker Parametrization of Convolutional Filter Subspaces: Regularity and Closed Embeddings#926287arXiv (All)
• Asymptotically-informed neural networks for Black-Scholes implied volatility computation#972553arXiv (All)
• PathGuide: Dynamic Classifier-Free Guidance via On-Policy Transport Alignment#973370arXiv (All)
• InKAN: B-Spline KANs via Truncated Power Form#973397arXiv (All)