惯性聚合
高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文
在惯性聚合中打开
即将跳转到惯性聚合
3
在聚合应用中查看完整内容和互动
立即跳转
取消
推荐订阅源
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
GbyAI
OSCHINA 社区最新新闻
博
博客园 - 三生石上(FineUI控件)
美
美团技术团队
Last Week in AI
WordPress大学
L
LangChain Blog
雷峰网
让小产品的独立变现更简单 - ezindie.com
博
博客园 - 叶小钗
Engineering at Meta
腾
腾讯CDC
Recent Announcements
The Register - Security
有赞技术团队
Blog — PlanetScale
博
博客园 - Franky
博
博客园 - 司徒正美
The Cloudflare Blog
Google DeepMind News
T
Tailwind CSS Blog
C
Check Point Blog
小众软件
V
Visual Studio Blog
V
V2EX
F
Full Disclosure
J
Java Code Geeks
MongoDB | Blog
罗
罗磊的独立博客
人人都是产品经理
量
量子位
Apple Machine Learning Research
F
Fortinet All Blogs
Microsoft Security Blog
奇客Solidot–传递最新科技情报
博
博客园 - 【当耐特】
博
博客园_首页
Y
Y Combinator Blog
N
Netflix TechBlog - Medium
酷 壳 – CoolShell
Stack Overflow Blog
Recorded Future
G
Google Developers Blog
Vercel News
大猫的无限游戏
Microsoft Azure Blog
U
Unit 42
爱范儿
Jina AI
math updates on arXiv.org
Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization
Non-normal spectral signatures of instability in neural network training dynamics
Optimization of randomized neural networks for transfer operator approximation
Selective Ambulance Dispatch Under Contextual Travel-Time Uncertainty
LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics
Learning Decision-Sufficient Representations for Linear Optimization
Parameterized Complexity of Stationarity Testing for Piecewise-Affine Functions and Shallow CNN Losses
Prabhakar function and unified fractional kinetic equation in bicomplex space
Computing Gamma(p/q) with Beta function values
Flows on Graded Manifolds
Optimal embedding dimension in the Nash--Tognoli theorem
An optimal first-order method for smooth and strongly convex composite optimization and its stationary limit
Sharp Bohr-Type inequalities for certain classes of close-to-convex functions
Invariants of real affine varieties based on their complexifications
Topological symmetric and braid homologies
A Formal Graph-Theoretic Framework for Pitch Class Set Analysis
Finite groups with high commuting probability for Sylow subgroups
Performance Bounds for Rollout Policies in Stochastic Shortest Path Problems
Real 2-blocks in quasi-simple groups
Maximal subalgebras of the Lie algebra $W_n(\mathbb{K})$
Cohomogeneity-One Ruled Hypersurfaces in $\mathbb{CP}^2$ and $\mathbb{C}H^2$
Global analysis of the Kuramoto flow
Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
On the Stability of Spherical Hellinger-Kantorovich Flows and Their Implications for Differential Privacy
Training-Free Looped Transformers
Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer
Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries
Asymmetric Scaling Laws from Sparse Features
Is Dimensionality a Barrier for Retrieval Models?
RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in Max-Structured DC Programs
Commutator-Induced Uncertainty in VAEs
Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
Sparse In-Network Learning via Shortest-Path Backpropagation and Finite-Rate Gating
Generalized Stochastic Approximation of the Log-Likelihood Ratio for Robust Sequential Change-Point Detection
Instance-Optimal Estimation with Multiple LLM Judges on a Budget
Entropy Equivalence Testing
Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation
Any-Dimensional Invariant Universality
Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models
Anytime Training with Schedule-Free Spectral Optimization
Concise and elegant proofs of three formulas for complete Bell polynomials
On Reed-Muller subcodes, Grassmannian partitions and sum-free functions
Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation
Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology
The General Theory of Localization Methods
A Comprehensive Study of Clique Graphs and Clique Regular Graphs
Every signed planar graph is $5$-choosable: A short proof and refinements
General Lower Bounds for Differentially Private Federated Learning with Arbitrary Public-Transcript Interactions
PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels
Proximal basin hopping: global optimization with guarantees
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
On Stability and Decomposition of Sample Quantiles under Heavy-Tailed Distributions
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers
Stochastic Non-Smooth Convex Optimization with Unbounded Gradients
Dimension-Free Convergence of Discrete Diffusion Models: Adjoint Equations Induce the Right Space
The Geometry of Cooperative Game Solutions: Stratified Egalitarian Shapley Values
An Axiomatic Theory of Tie-Breaking: Impossibility, Characterization, and Decomposition
PyCSP3-Scheduling: A Scheduling Extension for PyCSP3
Strategic PAC Learnability via Geometric Definability
Proximal-Based Generative Modeling for Bayesian Inverse Problems
Every Minimal Counterexample to the Erdős-Gyárfás Conjecture is Predominantly Cubic
SPHERICAL KV: Angle-Domain Attention and Rate-Distortion Retention for Efficient Long-Context Inference
NOVA: Fundamental Limits of Knowledge Discovery Through AI
Model-based Bootstrap of Controlled Markov Chains
TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection
Minimal Filling Architectures of Polynomial Neural Networks: Counterexamples, Frontier Search, and Defects
Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems
Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes
Towards an Inferentialist Account of Information Through Proof-theoretic Semantics
Random test functions, $H^{-1}$ norm equivalence, and stochastic variational physics-informed neural networks
QUIVER: Cost-Aware Adaptive Preference Querying in Surrogate-Assisted Evolutionary Multi-Objective Optimization
Robust and Fast Training via Per-Sample Clipping
Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback
Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data
QED: An Open-Source Multi-Agent System for Generating Mathematical Proofs on Open Problems
Information-Theoretic Measures in AI: A Practical Decision Guide
Inference of Online Newton Methods with Nesterov's Accelerated Sketching
A Unified Fractional Regularization Framework for Sparse Recovery
Mathematical Foundations for Peer-to-Peer Lattice Computation
Geometric Layer-wise Approximation Rates for Deep Networks
RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory
ML-based approach to classification and generation of structured light propagation in turbulent media
Zeroth-Order Optimization at the Edge of Stability
Adaptive Learning via Off-Model Training and Importance Sampling for Fully Non-Markovian Optimal Stochastic Control. Complete version
Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes
Training-Free Rate-Distortion-Perception Traversal With Diffusion
Conformal Policy Control
Linear Regression with Unknown Truncation Beyond Gaussian Features
ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
Feature Learning Dynamics in Infinite-Depth Neural Networks
ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms
Normalizing Flows on Quotient Manifolds via Boundary Quotients
What Can Be Recovered Under Sparse Adversarial Corruption? Assumption-Free Theory for Linear Measurements
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
Program Evaluation with Remotely Sensed Outcomes
Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries
Advanced linear algebra
Teo Banica
·
2026-05-27
·
via
math updates on arXiv.org
arXiv:2506.18666v2 Announce Type: replace Abstract: This is an introduction to advanced linear algebra, with…
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。
原文来自
— 版权归原作者所有。