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对异常检测进行OmniAnomaly的复审:业绩指标和与基于五氯苯甲醚的模型的比较
Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based mode...
👁 446 📚 2
Kernel Single-Index Bandits: 估计 (Estimation), 推断 (Inference), and 学习 (Learning)
Kernel Single-Index Bandits: Estimation, Inference, and Learning
👁 44 📚 13
比例制中线性Denoisers的确切表现
Precise Performance of Linear Denoisers in the Proportional Regime
👁 101 📚 3
统计 (Statistical) Testing Framework for Clustering Pipelines by Selective 推断 (Inference)
Statistical Testing Framework for Clustering Pipelines by Selective Inference
👁 145 📚 22
A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress 预测 (Prediction) in Hypere...
A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelasti...
👁 480 📚 10
Starting Off on the Wrong Foot: Pitfalls in 数据 (Data) Preparation
Starting Off on the Wrong Foot: Pitfalls in Data Preparation
👁 382 📚 41
A Noise Sensitivity Exponent Controls Large 统计 (Statistical)-to-Computational Gaps in Single- and Mu...
A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-I...
👁 105 📚 1
rSDNet: Unified Robust Neural 学习 (Learning) against Label Noise and Adversarial Attacks
rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks
👁 489 📚 45
Riemannian Manifolds上的镜像设定
Mirror Descent on Riemannian Manifolds
👁 405 📚 5
经验经济学可审计的AI代理循环:预测组合中的案例研究
An Auditable AI Agent Loop for Empirical Economics: A Case Study in Forecast Combination
👁 233 📚 14
Self-Regularized 学习 (Learning) Methods
Self-Regularized Learning Methods
👁 140 📚 46
GeMA: 学习 (Learning) Latent Manifold Frontiers for Benchmarking Complex Systems
GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems
👁 304 📚 7
症状:通过密度单倍体上的惯性动态加速注意块
SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
👁 112 📚 9
标志性加权签名
The Exponentially Weighted Signature
👁 11 📚 0
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