Fuentes de referencia

Referencias 25–48 de 766

25. A high-performance speech neuroprosthesis

    Francis R. Willett; Erin M. Kunz; Chaofei Fan; Donald T. Avansino; Guy H. Wilson; Eun Young Choi; et al.
    2023-08-23

    Ubicación en la fuente: Abstract; online text decoding

    Alcance de la consulta: 受试者特定解码结果，不泛化为通用临床性能。

    Abrir fuente original ↗
    Citado en (1)

    • 从神经信号到真实沟通：语音脑机接口的错误、时延与用户控制

26. A Logarithmic Lower Bound for Oblivious RAM (for all parameters)

    Ilan Komargodski; Wei-Kai Lin
    2020
    Abrir fuente original ↗
    Citado en (1)

    • Hiding the Address: Oblivious RAM, Leakage, and the Cost of Access Privacy

27. A Note on the PAC Bayesian Theorem

    Andreas Maurer
    2004
    Abrir fuente original ↗
    Citado en (1)

    • Who Chose the Prior? PAC-Bayes Certificates, Data Dependence, and the Cost of Selection

28. A Process for Capturing CO2 from the Atmosphere

    David W. Keith; Geoffrey Holmes; David St. Angelo; Kenton Heidel
    2018-08

    Ubicación en la fuente: Abstract; Process Description; Heat and Mass Balance

    Alcance de la consulta: 工程设计与先导单元数据；成本是2018假设，不作为当前报价。

    Abrir fuente original ↗
    Citado en (1)

    • 从吸附材料到净碳移除：直接空气捕集的热力学与生命周期边界

29. A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

    Damjan Kalajdzievski
    2023
    Abrir fuente original ↗
    Citado en (1)

    • What Low-Rank Adaptation Can and Cannot Represent

30. A sea change in our view of overturning in the subpolar North Atlantic

    M. S. Lozier; F. Li; S. Bacon; F. Bahr; A. S. Bower; S. A. Cunningham; M. F. de Jong; L. de Steur; B. deYoung; J. Fischer; S. F. Gary; B. J. W. Greenan; N. P. Holliday; A. Houk; L. Houpert; M. E. Inall; W. E. Johns; H. L. Johnson; C. Johnson; J. Karstensen; G. Koman; I. A. Le Bras; X. Lin; N. Mackay; D. P. Marshall; H. Mercier; M. Oltmanns; R. S. Pickart; A. L. Ramsey; D. Rayner; F. Straneo; V. Thierry; D. J. Torres; R. G. Williams; C. Wilson; J. Yang; I. Yashayaev; J. Zhao
    2019
    Abrir fuente original ↗
    Citado en (1)

    • Reading an Ocean Circulation: AMOC Observations, Proxy Ambiguity and Early-Warning Claims

31. A Simple Framework for Contrastive Learning of Visual Representations

    Ting Chen; Simon Kornblith; Mohammad Norouzi; Geoffrey Hinton
    2020
    Abrir fuente original ↗
    Citado en (1)

    • Contrastive Learning Between Alignment and Information Loss

32. A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma

    Donald M. O’Rourke; MacLean P. Nasrallah; Arati Desai; Jan J. Melenhorst; Keith Mansfield; Jennifer J. D. Morrissette; Maria Martinez-Lage; Steven Brem; Eileen Maloney; Angela Shen; Randi Isaacs; Suyash Mohan; Gabriela Plesa; Simon F. Lacey; Jean-Marc Navenot; Zhaohui Zheng; Bruce L. Levine; Hideho Okada; Carl H. June; Jennifer L. Brogdon; Marcela V. Maus
    2017
    Abrir fuente original ↗
    Citado en (1)

    • Recognition Is Only the Beginning: Engineering Cell Therapies across Solid-Tumor Barriers

33. A single fast radio burst localized to a massive galaxy at cosmological distance

    K. W. Bannister; A. T. Deller; C. Phillips; J.-P. Macquart; J. X. Prochaska; N. Tejos; S. D. Ryder; E. M. Sadler; R. M. Shannon; S. Simha; C. K. Day; M. McQuinn; F. O. North-Hickey; S. Bhandari; W. R. Arcus; V. N. Bennert; J. Burchett; M. Bouwhuis; R. Dodson; R. D. Ekers; W. Farah; C. Flynn; C. W. James; M. Kerr; E. Lenc; E. K. Mahony; J. O’Meara; S. Osłowski; H. Qiu; T. Treu; V. U; T. J. Bateman; D. C.-J. Bock; R. J. Bolton; A. Brown; J. D. Bunton; A. P. Chippendale; F. R. Cooray; T. Cornwell; N. Gupta; D. B. Hayman; M. Kesteven; B. S. Koribalski; A. MacLeod; N. M. McClure-Griffiths; S. Neuhold; R. P. Norris; M. A. Pilawa; R.-Y. Qiao; J. Reynolds; D. N. Roxby; T. W. Shimwell; M. A. Voronkov; C. D. Wilson
    2019
    Abrir fuente original ↗
    Citado en (1)

    • Weighing Invisible Matter with Fast Radio Bursts: Dispersion, Host Galaxies and Selection

34. A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications

    Lei Chen; Shi Liu; Chenxi Wang; Haoran Ma; Yifan Qiao; Zhe Wang; Chenggang Wu; Youyou Lu; Xiaobing Feng; Huimin Cui; Shan Lu; Harry Xu
    2024
    Abrir fuente original ↗
    Citado en (1)

    • Memory across a Network: RDMA, Placement, and the Cost of Remote State

35. A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

    Yuqi Nie; Nam H. Nguyen; Phanwadee Sinthong; Jayant Kalagnanam
    2022
    Abrir fuente original ↗
    Citado en (1)

    • Forecasts Must Respect the Clock: Temporal Leakage and Evaluation

36. A unified catalog of 204,938 reference genomes from the human gut microbiome

    Alexandre Almeida; Stephen Nayfach; Miguel Boland; Francesco Strozzi; Martin Beracochea; Zhou Jason Shi; et al.
    2020-07-20

    Ubicación en la fuente: Abstract; catalogue construction and clustering

    Alcance de la consulta: 非冗余基因组目录，不等于同等数量独立生物物种或功能实验。

    Abrir fuente original ↗
    Citado en (1)

    • 微生物暗物质的发现逻辑：从宏基因组目录到可验证功能

37. A Universal Graph Deep Learning Interatomic Potential for the Periodic Table

    ,
    2022-02-05

    Ubicación en la fuente: Abstract; 原文方法、理论和实验章节见作者原始论文链接

    Alcance de la consulta: 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。

    Consulta: 2026-10-21

    Abrir fuente original ↗
    Citado en (1)

    • AI 材料发现的证据链：势能模型、凸包与合成验证

38. Ab initio calculation of real solids via neural network ansatz

    Li et al.
    2022-12-19

    Ubicación en la fuente: Periodic boundary conditions and neural-network quantum states for solids.

    Consulta: 2026-10-22

    Abrir fuente original ↗
    Citado en (1)

    • 神经波函数的第一性原理：反对称性、变分上界与相关采样误差

39. Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

    Pfau et al.
    2019-09-05

    Ubicación en la fuente: Fermionic ansatz, variational Monte Carlo, antisymmetry and molecular benchmark domain.

    Consulta: 2026-10-22

    Abrir fuente original ↗
    Citado en (1)

    • 神经波函数的第一性原理：反对称性、变分上界与相关采样误差

40. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

    Laura Duncanson; James R. Kellner; John Armston; Ralph Dubayah; David M. Minor; Steven Hancock; et al.
    2022-03

    Ubicación en la fuente: Abstract; calibration and model selection

    Alcance de la consulta: 足迹尺度波形转生物量模型；分层校准与误差传播。

    Abrir fuente original ↗
    Citado en (1)

    • 从激光波形到森林碳：抽样设计、尺度转换与不确定性守恒

41. Accelerating Large Language Model Decoding with Speculative Sampling

    , , , , ,
    2023-02-02

    Ubicación en la fuente: Abstract; 原文方法、理论和实验章节见作者原始论文链接

    Alcance de la consulta: 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。

    Consulta: 2026-10-21

    Abrir fuente original ↗
    Citado en (1)

    • 推测解码的分布与成本：接受校正、残差采样和加速边界

42. Accelerating Large-Scale Inference with Anisotropic Vector Quantization

    Ruiqi Guo; Philip Sun; Erik Lindgren; Quan Geng; David Simcha; Felix Chern; Sanjiv Kumar
    2020
    Abrir fuente original ↗
    Citado en (1)

    • Searching with an Error Budget: Approximate Neighbors, Recall, and Workload Geometry

43. Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations

    Tayfun Gokmen; Yurii Vlasov
    2016
    Abrir fuente original ↗
    Citado en (1)

    • When Multiplication Becomes Physics: Analog Neural Computing and the Energy of Everything Else

44. Accurate classification of BRCA1 variants with saturation genome editing

    Gregory M. Findlay; Riza M. Daza; Beth Martin; Melissa D. Zhang; Anh P. Leith; Molly Gasperini; Joseph D. Janizek; Xingfan Huang; Lea M. Starita; Jay Shendure
    2018
    Abrir fuente original ↗
    Citado en (1)

    • Predicting a Molecular Consequence: Variant-Effect Models between Evolution and Clinical Evidence

45. Accurate proteome-wide missense variant effect prediction with AlphaMissense

    Jun Cheng; Guido Novati; Joshua Pan; Clare Bycroft; Akvilė Žemgulytė; Taylor Applebaum; Alexander Pritzel; Lai Hong Wong; Michal Zielinski; Tobias Sargeant; Rosalia G. Schneider; Andrew W. Senior; John Jumper; Demis Hassabis; Pushmeet Kohli; Žiga Avsec
    2023
    Abrir fuente original ↗
    Citado en (1)

    • Predicting a Molecular Consequence: Variant-Effect Models between Evolution and Clinical Evidence

46. Accurate RNA 3D structure prediction using a language model-based deep learning approach

    Shen et al.
    2024-11-21

    Ubicación en la fuente: RNA-language-model pretraining on approximately 23.7 million sequences; single-chain 3D prediction scope.

    Consulta: 2026-10-22

    Abrir fuente original ↗
    Citado en (1)

    • RNA 结构预测的尺度鸿沟：语言表征、假结与构象集合的证据

47. Accurate structure prediction of biomolecular interactions with AlphaFold 3

    Abramson et al.
    2024-05-08

    Ubicación en la fuente: Nature 2024; diffusion module and limitations

    Alcance de la consulta: Diffusion-based joint prediction covers biomolecular interactions; the paper discusses hallucination in disordered regions and special evaluation conditions.

    Consulta: 2026-10-15

    Abrir fuente original ↗
    Citado en (4)

    • 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
    • 可编程蛋白设计的闭环：从生成骨架到可测量功能的条件概率
    • RNA 结构预测的尺度鸿沟：语言表征、假结与构象集合的证据

48. ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data

    Liana Patel; Peter Kraft; Carlos Guestrin; Matei Zaharia
    2024
    Abrir fuente original ↗
    Citado en (1)

    • Searching with an Error Budget: Approximate Neighbors, Recall, and Workload Geometry