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Plenary Abstracts Session & Oral Presentations
HemaSphere, Volume 10, Issue S1, June 2026.
wiley +1 more source
The timing of basaltic volcanism at the Apollo landing sites
Precise crystallisation ages have been determined for a range of Apollo basalts from Pb-Pb isochrons generated using Secondary Ion Mass Spectrometry (SIMS) analyses of multiple accessory phases including K-feldspar, K-rich glass and phosphates.
Joshua F Snape +2 more
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ESEC/SIGSOFT FSE, 2020
Autonomous Driving System (ADS) is one of the most promising and valuable large-scale machine learning (ML) powered systems. Hence, ADS has attracted much attention from academia and practitioners in recent years. Despite extensive study on ML models, it
Zi Peng, Jinqiu Yang, T. Chen, L. Ma
semanticscholar +1 more source
Autonomous Driving System (ADS) is one of the most promising and valuable large-scale machine learning (ML) powered systems. Hence, ADS has attracted much attention from academia and practitioners in recent years. Despite extensive study on ML models, it
Zi Peng, Jinqiu Yang, T. Chen, L. Ma
semanticscholar +1 more source
Augmented Apollo Powered Descent Guidance
Journal of Guidance, Control, and Dynamics, 2019The Apollo powered descent guidance (APDG) paradigm, developed over 50 years ago for the Apollo Lunar Module, is beautifully simple and elegant.
Ping Lu
exaly +2 more sources
International Conference on Learning Representations
Leveraging machine learning (ML) to predict an initial solution for mixed-integer linear programming (MILP) has gained considerable popularity in recent years. These methods predict a solution and fix a subset of variables to reduce the problem dimension.
Haoyang Liu +7 more
semanticscholar +1 more source
Leveraging machine learning (ML) to predict an initial solution for mixed-integer linear programming (MILP) has gained considerable popularity in recent years. These methods predict a solution and fix a subset of variables to reduce the problem dimension.
Haoyang Liu +7 more
semanticscholar +1 more source
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Computer Vision and Pattern RecognitionDespite the rapid integration of video perception capabilities into Large Multimodal Models (LMMs), what drives their video perception remains poorly understood.
Orr Zohar +11 more
semanticscholar +1 more source
APOLLO: SGD-like Memory, AdamW-level Performance
Conference on Machine Learning and SystemsLarge language models (LLMs) are notoriously memory-intensive during training, particularly with the popular AdamW optimizer. This memory burden necessitates using more or higher-end GPUs or reducing batch sizes, limiting training scalability and ...
Hanqing Zhu +9 more
semanticscholar +1 more source
Apollo, Apollo! An Ambiguous Call for Sophistication in Antwerp, 1561
European Medieval Drama, 2016This article explores the seemingly mixed messages in the Antwerp playwright Willem van Haecht’s Oordeel van Tmolus (Tmolus’ Verdict), based on Ovid’s tale of the metamorphosis of king Midas’ ears. Performed on the first evening of the 1561 Rederijkers’ theater competition in Antwerp, its first act reflects a call for “apollonian” aesthetics and a ...
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