Reference sources
Primary references used in the research collection. Titles and bibliographic details retain their original language.
References 121–144 of 766
Characterizing possible failure modes in physics-informed neural networks
Aditi S. Krishnapriyan; Amir Gholami; Shandian Zhe; Robert M. Kirby; Michael W. MahoneyOpen original source ↗
2021CHERI: 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 VaderaOpen original source ↗
2015CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling
, , , , , ,
2023-02-28Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接
Source scope: 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。
Inspected on: 2026-10-21
Open original source ↗Referenced in (1)
Circuit ORAM: On Tightness of the Goldreich-Ostrovsky Lower Bound
Xiao Wang; Hubert Chan; Elaine ShiOpen original source ↗
2014CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios GavvesOpen original source ↗
2022Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Clayton Scott; Gilles Blanchard; Gregory HandyOpen original source ↗
2013Referenced in (1)
Classifier-Free Diffusion Guidance
Jonathan Ho; Tim SalimansOpen original source ↗
2022Clearance 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 DeursenOpen original source ↗
2011Clinical-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. FuchsOpen original source ↗
2019Clinically applicable deep learning for diagnosis and referral in retinal disease
De Fauw et al.
2018-08-13Source location: Device-independent tissue segmentation and referral classification; ambiguities and failure examples.
Inspected on: 2026-10-22
Open original source ↗Referenced in (1)
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 SugiyamaOpen original source ↗
2018Referenced in (1)
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.
2021-06-04Source location: Abstract; carbon utilization analysis
Source scope: 强酸条件降低碳酸盐损失,仍需处理析氢及全系统收支。
Open original source ↗Referenced in (1)
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.
2018-05-18Source location: Abstract; reaction interface and stability
Source scope: 催化选择性、局部界面与整槽电压口径不同。
Open original source ↗Referenced in (1)
Combinatorial Sketching for Finite Programs
Armando Solar-Lezama; Liviu Tancau; Rastislav Bodik; Vijay Saraswat; Sanjit SeshiaOpen original source ↗
2006Communication-Efficient Learning of Deep Networks from Decentralized Data
, , , ,
2016-02-17Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接
Source scope: 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。
Inspected on: 2026-10-21
Open original source ↗Referenced in (1)
Compaction
RocksDB contributorsOpen original source ↗
2023Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite; Daniel M. RoyOpen original source ↗
2017Concerns about modelling of the EDGES data
Richard Hills; Girish Kulkarni; P. Daniel Meerburg; Ewald PuchweinOpen original source ↗
2018Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt; Lu Jiang; Isaac L. ChuangOpen original source ↗
2019Referenced in (1)
Conflict-Free Replicated Data Types
Marc Shapiro; Nuno Preguiça; Carlos Baquero; Marek ZawirskiOpen original source ↗
2011Conformalized Quantile Regression
, ,
2019-05-08Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接
Source scope: 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。
Inspected on: 2026-10-21
Open original source ↗Referenced in (1)
Connectome-constrained networks predict neural activity across the fly visual system
Lappalainen et al.
2024Source location: Anatomical connectivity constraints, learned dynamics and functional prediction; anatomy alone is incomplete.
Inspected on: 2026-10-22
Open original source ↗Referenced in (1)
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar; Aurick Zhou; George Tucker; Sergey LevineOpen original source ↗
2020Consistency
AuthZedOpen original source ↗
2026