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参考来源

文集引用的一手文献。题名与书目信息保留原文，便于准确核查。

第 313–336 条，共 766 条来源

Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Kenta Oono; Taiji Suzuki
2020
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- Graph Depth, Smoothing, and the Loss of Distinctions
GraphCast: Learning skillful medium-range global weather forecasting
Lam et al.
2022-12-24
来源定位: Authors' primary preprint; deterministic medium-range forecasts and verification scope; linked Science version.
查阅日期: 2026-10-22
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- 天气预测从一条轨迹到概率分布：GenCast 的校准、联合风险与极端事件
GraphIt: A High-Performance Graph DSL
Yunming Zhang; Mengjiao Yang; Riyadh Baghdadi; Shoaib Kamil; Julian Shun; Saman Amarasinghe
2018
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- Skew Is the Workload: Partitioning and Direction Choice in Graph Processing
GraphX: Unifying Data-Parallel and Graph-Parallel Analytics
Reynold S. Xin; Daniel Crankshaw; Ankur Dave; Joseph E. Gonzalez; Michael J. Franklin; Ion Stoica
2014
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- Skew Is the Workload: Partitioning and Direction Choice in Graph Processing
GreenHadoop: Leveraging Green Energy in Data-Processing Frameworks
Íñigo Goiri; Kien Le; Thu D. Nguyen; Jordi Guitart; Jordi Torres; Ricardo Bianchini
2012
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- When Computation Should Run: Carbon-Aware Scheduling under Deadlines and Forecast Error
GreenSlot: Scheduling Energy Consumption in Green Datacenters
Inigo Goiri; Kien Le; Md E. Haque; Ryan Beauchea; Thu Nguyen; Jordi Guitart; Jordi Torres; Ricardo Bianchini
2011
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- When Computation Should Run: Carbon-Aware Scheduling under Deadlines and Forecast Error
Group Equivariant Convolutional Networks
Taco Cohen; Max Welling
2016
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- Equivariance Is a Contract About Transformations
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
, , , , , , , ,
2020-06-30
来源定位: Abstract; 原文方法、理论和实验章节见作者原始论文链接
核查范围: 一手论文；原文研究归属原作者。本文的推导示例与建议实验方案另行标注，不冒充原论文或本站实测。
查阅日期: 2026-10-21
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- 稀疏专家模型的真实成本：路由、容量约束与分布式通信
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin; HyoukJoong Lee; Yuanzhong Xu; Dehao Chen; Orhan Firat; Yanping Huang; Maxim Krikun; Noam Shazeer; Zhifeng Chen
2020
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- Sparse Experts Under Capacity and Routing Constraints
GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run
R. Abbott; T. D. Abbott; F. Acernese; K. Ackley; C. Adams; N. Adhikari; et al.
2023-12-04
来源定位: Abstract; search and parameter-estimation methods
核查范围: 目录候选概率与总群体推断不同；阈值条件随记录保存。
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- 从被探测的并合到宇宙群体：引力波选择效应与层级推断
Harmless interpolation of noisy data in regression
Vidya Muthukumar; Kailas Vodrahalli; Vignesh Subramanian; Anant Sahai
2019
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- When Fitting Noise Is Benign: Interpolation, Effective Rank, and the Geometry of Prediction
HeMIS: Hetero-Modal Image Segmentation
Mohammad Havaei; Nicolas Guizard; Nicolas Chapados; Yoshua Bengio
2016
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- When a Sensor Is Missing: Multimodal Learning and Identifiability
Hierarchically porous polymer coatings for highly efficient passive daytime radiative cooling
Jyotirmoy Mandal; Yanke Fu; Adam C. Overvig; Mingxin Jia; Kerui Sun; Norman N. Shi; Hua Zhou; Xianghui Xiao; Nanfang Yu; Yuan Yang
2018
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- Cooling beneath the Sky: Spectral Selectivity, Atmospheric Windows and System Boundaries
High electronic conductivity as the origin of lithium dendrite formation within solid electrolytes
Fudong Han; Andrew S. Westover; Jie Yue; Xiulin Fan; Fei Wang; Miaofang Chi; et al.
2019-01-14
来源定位: Abstract; operando neutron depth profiling
核查范围: 特定固体电解质的电子泄漏证据，不宣称解释所有短路。
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- 固态电池的界面现实：离子传输、电子泄漏与整电池能量
High Fidelity Neural Audio Compression
Alexandre Défossez; Jade Copet; Gabriel Synnaeve; Yossi Adi
2022
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- What the Audio Tokens Carry: Neural Codecs, Generative Interfaces, and Latency Budgets
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate
Vitaly Feldman; Jan Vondrak
2019
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- What One Replaced Example Changes: Algorithmic Stability, Training Time, and Generalization
High-Fidelity Audio Compression with Improved RVQGAN
Rithesh Kumar; Prem Seetharaman; Alejandro Luebs; Ishaan Kumar; Kundan Kumar
2023
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- What the Audio Tokens Carry: Neural Codecs, Generative Interfaces, and Latency Budgets
High-Fidelity Generative Image Compression
Fabian Mentzer; George Toderici; Michael Tschannen; Eirikur Agustsson
2020
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- The Bits the Model Must Actually Send: Learned Image Compression and Entropy-Model Mismatch
High-performance bulk thermoelectrics with all-scale hierarchical architectures
Kanishka Biswas; Jiaqing He; Ivan D. Blum; Chun-I Wu; Timothy P. Hogan; David N. Seidman; Vinayak P. Dravid; Mercouri G. Kanatzidis
2012
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- From a Large Figure of Merit to Useful Power: Thermoelectric Materials under Real Constraints
High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE
Vahid et al.
2023-03-06
来源定位: Cell-to-spot assignment, compositional constraints and dedicated mapping benchmarks.
查阅日期: 2026-10-22
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- 从细胞表达到组织生态：空间组学模型的可辨识性、邻域尺度与验证
High-resolution genomic history of early medieval Europe
Leo Speidel; Marina Silva; Thomas Booth; Ben Raffield; Kyriaki Anastasiadou; Christopher Barrington; et al.
2025-01-01
来源定位: Figs. 1–3; ancestry modelling
核查范围: 古样本时空分布与祖源关系推断，存在代表性及参考群体限制。
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- 古基因组如何重建迁徙：祖源模型、时间采样与历史解释的边界
High-Resolution Image Synthesis with Latent Diffusion Models
, , , ,
2021-12-20
来源定位: Abstract; 原文方法、理论和实验章节见作者原始论文链接
核查范围: 一手论文；原文研究归属原作者。本文的推导示例与建议实验方案另行标注，不冒充原论文或本站实测。
查阅日期: 2026-10-21
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- 扩散生成的概率路径：噪声预测、采样误差与潜空间建模
Highly accurate protein structure prediction with AlphaFold
Jumper et al.
2021-07-15
来源定位: Nature 2021; network, Fig. 2 and limitations
核查范围: AlphaFold2 links sequence/MSA and pair representations to 3D coordinates; predicted confidence is distinct from experimental confirmation.
查阅日期: 2026-10-15
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- 蛋白质结构预测的证据层级：AlphaFold、置信度与实验边界
- 从复合物坐标到分子机制：AlphaFold 3 之后的结合证据与可辨识性
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Albert Gu; Tri Dao; Stefano Ermon; Atri Rudra; Christopher Re
2020
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- What a Recurrent State Can Remember: Decay, Selectivity, and Sequence Memory

参考来源

Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

GraphCast: Learning skillful medium-range global weather forecasting

GraphIt: A High-Performance Graph DSL

GraphX: Unifying Data-Parallel and Graph-Parallel Analytics

GreenHadoop: Leveraging Green Energy in Data-Processing Frameworks

GreenSlot: Scheduling Energy Consumption in Green Datacenters

Group Equivariant Convolutional Networks

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run

Harmless interpolation of noisy data in regression

HeMIS: Hetero-Modal Image Segmentation

Hierarchically porous polymer coatings for highly efficient passive daytime radiative cooling

High electronic conductivity as the origin of lithium dendrite formation within solid electrolytes

High Fidelity Neural Audio Compression

High probability generalization bounds for uniformly stable algorithms with nearly optimal rate

High-Fidelity Audio Compression with Improved RVQGAN

High-Fidelity Generative Image Compression

High-performance bulk thermoelectrics with all-scale hierarchical architectures

High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE

High-resolution genomic history of early medieval Europe

High-Resolution Image Synthesis with Latent Diffusion Models

Highly accurate protein structure prediction with AlphaFold

HiPPO: Recurrent Memory with Optimal Polynomial Projections