AUTURNAL / RESEARCH SOURCES
Reference sources
Primary references used in the research collection. Titles and bibliographic details retain their original language.
References 673–696 of 766
The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
Tyler Akidau; Robert Bradshaw; Craig Chambers; Slava Chernyak; Rafael J. Fernández-Moctezuma; Reuven Lax; Sam McVeety; Daniel Mills; Frances Perry; Eric Schmidt; Sam WhittleOpen original source ↗
2015The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials
Ilyes Batatia; Simon Batzner; Dávid Péter Kovács; Albert Musaelian; Gregor N. C. Simm; Ralf Drautz; Christoph Ortner; Boris Kozinsky; Gábor CsányiOpen original source ↗
2022Referenced in (1)
The Entity Attestation Token (EAT)
Laurence Lundblade; Giridhar Mandyam; Jeremy O'Donoghue; Carl WallaceOpen original source ↗
2025The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei; Andrea MontanariOpen original source ↗
2020The I-JSON Message Format (RFC 7493)
Tim BrayOpen original source ↗
2015The impact of site-specific digital histology signatures on deep learning model accuracy and bias
Frederick M. Howard; James Dolezal; Sara Kochanny; Jefree Schulte; Heather Chen; Lara Heij; Dezheng Huo; Rita Nanda; Olufunmilayo I. Olopade; Jakob N. Kather; Nicole Cipriani; Robert L. Grossman; Alexander T. PearsonOpen original source ↗
2021The implicit bias of gradient descent on nonseparable data
Ziwei Ji; Matus TelgarskyOpen original source ↗
2019Referenced in (1)
The Implicit Bias of Gradient Descent on Separable Data
Daniel Soudry; Elad Hoffer; Mor Shpigel Nacson; Suriya Gunasekar; Nathan SrebroOpen original source ↗
2018Referenced in (1)
The JavaScript Object Notation (JSON) Data Interchange Format (RFC 8259)
Tim BrayOpen original source ↗
2017The Log-Structured Merge-Tree (LSM-Tree)
Patrick O’Neil; Edward Cheng; Dieter Gawlick; Elizabeth O’NeilOpen original source ↗
1996The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds
Paolo Ferragina; Giorgio VinciguerraOpen original source ↗
2020The Risks of Invariant Risk Minimization
Elan Rosenfeld; Pradeep Ravikumar; Andrej RisteskiOpen original source ↗
2021The SyGuS Language Standard Version 2.1
Saswat Padhi; Elizabeth Polgreen; Mukund Raghothaman; Andrew Reynolds; Abhishek UdupaOpen original source ↗
2021The tail at scale
Jeffrey Dean; Luiz André BarrosoOpen original source ↗
2013Referenced in (1)
The Transit Light Source Effect: False Spectral Features and Incorrect Densities for M-dwarf Transiting Planets
Benjamin V. Rackham; Dániel Apai; Mark S. GiampapaOpen original source ↗
2018The Transport Layer Security (TLS) Protocol Version 1.3
Eric RescorlaOpen original source ↗
2018The upper bound revisited
Lloyd M. RobesonOpen original source ↗
2008Theoretically Principled Trade-off between Robustness and Accuracy
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2019-01-24Source 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)
Thermoelectric Efficiency and Compatibility
G. Jeffrey Snyder; Tristan S. UrsellOpen original source ↗
2003Tighter Risk Certificates for Neural Networks
María Pérez-Ortiz; Omar Rivasplata; John Shawe-Taylor; Csaba SzepesváriOpen original source ↗
2021Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi; Rishab Goel; Sepehr Eghbali; Janahan Ramanan; Jaspreet Sahota; Sanjay Thakur; Stella Wu; Cathal Smyth; Pascal Poupart; Marcus BrubakerOpen original source ↗
2019Referenced in (1)
Timely Stream Processing
Apache Flink contributorsOpen original source ↗
2026TIMELY: RTT-based Congestion Control for the Datacenter
Radhika Mittal; Vinh The Lam; Nandita Dukkipati; Emily Blem; Hassan Wassel; Monia Ghobadi; Amin Vahdat; Yaogong Wang; David Wetherall; David ZatsOpen original source ↗
2015TinyLFU: A Highly Efficient Cache Admission Policy
Gil Einziger; Roy Friedman; Ben ManesOpen original source ↗
2017