会员服务
维度灾难是指在高维空间中分析和组织数据时出现的各种现象，这些现象在低维设置（例如日常体验的三维物理空间）中不会发生。
KAT to KANs: A Review of Kolmogorov-Arnold Networks and the Neural Leap Forward
Arxiv
0+阅读 · 11月15日
Conditional regression for the Nonlinear Single-Variable Model
Arxiv
0+阅读 · 11月14日
Multilevel Picard approximations overcome the curse of dimensionality when approximating semilinear heat equations with gradient-dependent nonlinearities in $L^p$-sense
Arxiv
0+阅读 · 10月12日
Shallow diffusion networks provably learn hidden low-dimensional structure
Arxiv
0+阅读 · 10月15日
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity
Arxiv
0+阅读 · 10月18日
Breaking the curse of dimensionality in structured density estimation
Arxiv
0+阅读 · 10月10日
Multilevel Picard approximations overcome the curse of dimensionality when approximating semilinear heat equations with gradient-dependent nonlinearities in $L^p$-sense
Multilevel Picard approximations overcome the curse of dimensionality when approximating semilinear heat equations with gradient-dependent nonlinearities in $L^p$-sense
Arxiv
0+阅读 · 10月3日
Multilevel Picard approximations overcome the curse of dimensionality when approximating semilinear heat equations with gradient-dependent nonlinearities in $L^p$-sense
Arxiv
0+阅读 · 9月30日
Rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of gradient-dependent semilinear heat equations
Arxiv
0+阅读 · 9月23日
MEGA-PT: A Meta-Game Framework for Agile Penetration Testing
Arxiv
0+阅读 · 9月21日
A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting
Arxiv
0+阅读 · 9月22日
Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
Arxiv
0+阅读 · 9月4日
Parametric holomorphy of elliptic eigenvalue problems
Arxiv
0+阅读 · 8月2日
Collision Avoidance using Iterative Dynamic and Nonlinear Programming with Adaptive Grid Refinements
Arxiv
0+阅读 · 8月8日
GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits
Arxiv
0+阅读 · 8月19日
参考链接
微信扫码咨询专知VIP会员
Top