参考来源

第 121–144 条，共 766 条来源

121. Characterizing possible failure modes in physics-informed neural networks

     Aditi S. Krishnapriyan; Amir Gholami; Shandian Zhe; Robert M. Kirby; Michael W. Mahoney
     2021
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     • Physics-Informed Learning Has a Scale: Residual Weighting, Units, and Error

122. CHERI: A Hybrid Capability-System Architecture for Scalable Software Compartmentalization

     Robert N.M. Watson; Jonathan Woodruff; Peter G. Neumann; Simon W. Moore; Jonathan Anderson; David Chisnall; Nirav Dave; Brooks Davis; Khilan Gudka; Ben Laurie; Steven J. Murdoch; Robert Norton; Michael Roe; Stacey Son; Munraj Vadera
     2015
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     • Memory Safety with Capabilities: Spatial Authority, Lifetime, and Revocation

123. CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling

     , , , , , ,
     2023-02-28

     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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     • AI 材料发现的证据链：势能模型、凸包与合成验证

124. Circuit ORAM: On Tightness of the Goldreich-Ostrovsky Lower Bound

     Xiao Wang; Hubert Chan; Elaine Shi
     2014
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     • Hiding the Address: Oblivious RAM, Leakage, and the Cost of Access Privacy

125. CITRIS: Causal Identifiability from Temporal Intervened Sequences

     Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves
     2022
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     • Interventions Do Not Name Latents: Causal Representation and Identifiability

126. Classification with Asymmetric Label Noise: Consistency and Maximal Denoising

     Clayton Scott; Gilles Blanchard; Gregory Handy
     2013
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     • Noisy Labels and the Missing Identification Assumption

127. Classifier-Free Diffusion Guidance

     Jonathan Ho; Tim Salimans
     2022
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     • Guidance Changes the Target: Conditional Diffusion Between Fidelity and Concentration

128. Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders

     Darren J. Baker; Tobias Wijshake; Tamar Tchkonia; Nathan K. LeBrasseur; Bennett G. Childs; Bart van de Sluis; James L. Kirkland; Jan M. van Deursen
     2011
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     • The Context of Cellular Senescence: Tissue Repair, Persistent Damage and Selective Intervention

129. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

     Gabriele Campanella; Matthew G. Hanna; Luke Geneslaw; Allen Miraflor; Vitor Werneck Krauss Silva; Klaus J. Busam; Edi Brogi; Victor E. Reuter; David S. Klimstra; Thomas J. Fuchs
     2019
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     • From Slides to Sites: Foundation Models, Distribution Shift and Histopathology Validation

130. Clinically applicable deep learning for diagnosis and referral in retinal disease

     De Fauw et al.
     2018-08-13

     来源定位: Device-independent tissue segmentation and referral classification; ambiguities and failure examples.

     查阅日期: 2026-10-22

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     • 视网膜基础模型的转化证据：自监督表征、患病率与临床工作流

131. Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

     Bo Han; Quanming Yao; Xingrui Yu; Gang Niu; Miao Xu; Weihua Hu; Ivor W. Tsang; Masashi Sugiyama
     2018
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     • Noisy Labels and the Missing Identification Assumption

132. CO2 electrolysis to multicarbon products in strong acid

     Jianan Erick Huang; Fengwang Li; Adnan Ozden; Armin Sedighian Rasouli; F. Pelayo García de Arquer; Shijie Liu; et al.
     2021-06-04

     来源定位: Abstract; carbon utilization analysis

     核查范围: 强酸条件降低碳酸盐损失，仍需处理析氢及全系统收支。

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     • 二氧化碳电解的三本账：选择性、碳利用率与全系统能耗

133. CO2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface

     Cao-Thang Dinh; Thomas Burdyny; Md Golam Kibria; Ali Seifitokaldani; Christine M. Gabardo; F. Pelayo García de Arquer; et al.
     2018-05-18

     来源定位: Abstract; reaction interface and stability

     核查范围: 催化选择性、局部界面与整槽电压口径不同。

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     • 二氧化碳电解的三本账：选择性、碳利用率与全系统能耗

134. Combinatorial Sketching for Finite Programs

     Armando Solar-Lezama; Liviu Tancau; Rastislav Bodik; Vijay Saraswat; Sanjit Seshia
     2006
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     • Programs from Counterexamples: Synthesis, Specifications, and Oracle Limits

135. Communication-Efficient Learning of Deep Networks from Decentralized Data

     , , , ,
     2016-02-17

     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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     • 联邦学习的隐私账本：加权聚合、裁剪噪声与安全聚合边界

136. Compaction

     RocksDB contributors
     2023
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     • The Price of Sorted State: Compaction, Amplification, and Value Separation

137. Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

     Gintare Karolina Dziugaite; Daniel M. Roy
     2017
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     • Who Chose the Prior? PAC-Bayes Certificates, Data Dependence, and the Cost of Selection

138. Concerns about modelling of the EDGES data

     Richard Hills; Girish Kulkarni; P. Daniel Meerburg; Ewald Puchwein
     2018
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     • Listening beneath the Foreground: Calibration and Identifiability in Cosmic-Dawn Radio Experiments

139. Confident Learning: Estimating Uncertainty in Dataset Labels

     Curtis G. Northcutt; Lu Jiang; Isaac L. Chuang
     2019
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     • Noisy Labels and the Missing Identification Assumption

140. Conflict-Free Replicated Data Types

     Marc Shapiro; Nuno Preguiça; Carlos Baquero; Marek Zawirski
     2011
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     • Convergence Is Not Intention: The Semantics of Local-First Collaboration

141. Conformalized Quantile Regression

     , ,
     2019-05-08

     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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     • 保形预测的有限样本保证：校准秩、交换性与条件覆盖边界

142. Connectome-constrained networks predict neural activity across the fly visual system

     Lappalainen et al.
     2024

     来源定位: Anatomical connectivity constraints, learned dynamics and functional prediction; anatomy alone is incomplete.

     查阅日期: 2026-10-22

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     • 从神经连接图到脑计算：重建误差、动力学可辨识性与功能预测

143. Conservative Q-Learning for Offline Reinforcement Learning

     Aviral Kumar; Aurick Zhou; George Tucker; Sergey Levine
     2020
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     • The Action Missing from the Dataset: Support, Pessimism, and Identification in Offline Deep Reinforcement Learning

144. Consistency

     AuthZed
     2026
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     • Permission Has a Time: Relationship-Based Authorization and Consistent Revocation