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Enhancing the Parameterization of Reservoir Properties for 数据 (Data) Assimilation Using Deep VAE-GAN
Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
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是否需要复杂的损失功能来教LLMs讲道理?
Are complicated loss functions necessary for teaching LLMs to reason?
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纪念技能:让特工设计特工
Memento-Skills: Let Agents Design Agents
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Holter-to-Sleep:AI-Enabled 重新使用单行体ECG来做睡眠诱导
Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping
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从前(p)到多面:高斯克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克...
From ex(p) to poly: Gaussian Splatting with Polynomial Kernels
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Quantitative Introspection in Language 模型 (Model)s: Tracking Internal States Across Conversation
Quantitative Introspection in Language Models: Tracking Internal States Across Conversation
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MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language 模型 (Model)
MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model
👁 457 📚 47
数学对象上的理由:政策奖励模型和测试时间汇总
Reasoning over mathematical objects: on-policy reward modeling and test time aggregation
👁 308 📚 41
ChatGPT指出
Geography According to ChatGPT -- How Generative AI Represents and Reasons about Geography
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Evaluating LLM-Generated Lessons from the Language 学习 (Learning) Students' Perspective: A Short Case...
Evaluating LLM-Generated Lessons from the Language Learning Students' Perspective: A Short Case Stud...
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多输出系统识别的有限样本范围
Finite-sample bounds for multi-output system identification
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有时非参数比喻,即使模型正确
Sometimes nonparametrics beat parametrics, even when the model is right
👁 156 📚 23
由多变量 Erlang 分布的混合物构成的近似值
Approximation by mixtures of multivariate Erlang distributions
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加权正交多名数中后相密度的最小最大最佳汇合率
The minimax optimal convergence rate of posterior density in the weighted orthogonal polynomials
👁 114 📚 32
Minimax Optimal 估计 (Estimation) of Mean and Covariance Functions with Spectral Regularization
Minimax Optimal Estimation of Mean and Covariance Functions with Spectral Regularization
👁 288 📚 42
高度适应性的经验风险
Highly Adaptive Empirical Risk Minimization with Principal Components
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关于高维度边际的结构
On the structure of marginals in high dimensions
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Identifiability and 估计 (Estimation) in Continuous Lyapunov 模型 (Model)s
Identifiability and Estimation in Continuous Lyapunov Models
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在高频观测下混合分量Ornstein-Uhlenbeck过程的局部不对称常态
Local asymptotic normality for mixed fractional Ornstein-Uhlenbeck process under high-frequency obse...
👁 437 📚 47
A Kernel Two-Sample Test Invariant under Group Action with Applications to Functional 数据 (Data)
A Kernel Two-Sample Test Invariant under Group Action with Applications to Functional Data
👁 168 📚 8
海洋智能体 🌊
海洋智能体
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