The following pages link to extracted from (P1689):
Displaying 50 items.
- Sparse Spectral Methods for Solving High-Dimensional and Multiscale Elliptic PDEs (Q6425141) (← links)
- Coordinating Distributed Example Orders for Provably Accelerated Training (Q6425162) (← links)
- Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels (Q6425164) (← links)
- High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process (Q6425180) (← links)
- Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning (Q6425203) (← links)
- Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium (Q6425213) (← links)
- Sketched Ridgeless Linear Regression: The Role of Downsampling (Q6425220) (← links)
- The All-Pairs Vitality-Maximization (VIMAX) Problem (Q6425255) (← links)
- Robust Estimation under the Wasserstein Distance (Q6425257) (← links)
- Signature SDEs from an affine and polynomial perspective (Q6425277) (← links)
- Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank approximation (Q6425281) (← links)
- Equilibrium transport with time-inconsistent costs: An application to matching problems in the job market (Q6425299) (← links)
- Distributional constrained reinforcement learning for supply chain optimization (Q6425336) (← links)
- Chance Constrained Stochastic Optimal Control for Linear Systems with a Time Varying Random Control Matrix (Q6425351) (← links)
- DCA: Delayed Charging Attack on the Electric Shared Mobility System (Q6425380) (← links)
- Sharp Spectral Rates for Koopman Operator Learning (Q6425391) (← links)
- Lower Bounds of Functions on Finite Abelian Groups (Q6425422) (← links)
- Towards Efficient Subarray Hybrid Beamforming: Attention Network-based Practical Feedback in FDD Massive MU-MIMO Systems (Q6425476) (← links)
- Tighter Information-Theoretic Generalization Bounds from Supersamples (Q6425482) (← links)
- Target-based Surrogates for Stochastic Optimization (Q6425522) (← links)
- Presentations for the groups of order $p^6$ for prime $p\geq 7$ (Q6425534) (← links)
- Reversible random number generation for adjoint Monte Carlo simulation of the heat equation (Q6425565) (← links)
- A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations (Q6425621) (← links)
- Linear Optimal Partial Transport Embedding (Q6425653) (← links)
- Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations (Q6425667) (← links)
- Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity (Q6425700) (← links)
- p-Adic sigma functions and heights on Jacobians of genus 2 curves (Q6425711) (← links)
- Information-Theoretic Diffusion (Q6425779) (← links)
- Gibbsian polar slice sampling (Q6425802) (← links)
- Can Physics-Informed Neural Networks beat the Finite Element Method? (Q6425844) (← links)
- Weight 11 compactly supported cohomology of moduli spaces of curves (Q6425864) (← links)
- Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion (Q6425904) (← links)
- Stochastic Maximum Likelihood Direction Finding in the Presence of Nonuniform Noise Fields (Q6425935) (← links)
- Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates (Q6425953) (← links)
- Improved local models and new Bell inequalities via Frank-Wolfe algorithms (Q6425957) (← links)
- Trading Information between Latents in Hierarchical Variational Autoencoders (Q6425984) (← links)
- An Efficient Algorithm for Optimal Routing Through Constant Function Market Makers (Q6425990) (← links)
- Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (Q6426016) (← links)
- Binomial Line Cox Processes: Statistical Characterization and Applications in Wireless Network Analysis (Q6426027) (← links)
- On Penalty-based Bilevel Gradient Descent Method (Q6426038) (← links)
- Predicting the cardinality and maximum degree of a reduced Gr\"obner basis (Q6426074) (← links)
- A function space perspective on stochastic shape evolution (Q6426077) (← links)
- K-Spectral Sets (Q6426129) (← links)
- Bilevel optimization with a multi-objective lower-level problem: Risk-neutral and risk-averse formulations (Q6426133) (← links)
- Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves (Q6426146) (← links)
- A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming (Q6426161) (← links)
- A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing (Q6426170) (← links)
- Bregman-Wasserstein divergence: geometry and applications (Q6426198) (← links)
- Efficient Integer Retrieving from Unordered Compressed Sequences (Q6426210) (← links)
- Exploring Numerical Priors for Low-Rank Tensor Completion with Generalized CP Decomposition (Q6426212) (← links)
