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Kira Radinsky on Muck Rack

Kira Radinsky

California
As seen in: Color Research & Application, arXiv, Harvard Business Review, Globes, PM360
Diagnostic Robotics CTO (former eBay Chief Scientist (IL)). In the journey to reduce the world's health systems loads through AI.
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Articles

Predicting Oxidation Potentials with DFT-Driven Machine Learning

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By Shweta Sharma Verified, Kira Radinsky, Lilac Amirav
Journal of Chemical Information and Modeling Cite this: J. Chem. Inf. Model. 2025, XXXX, XXX Click to copy citationCitation copied! . This publication is licensed under CC-BY 4.0 . You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
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ReactEmbed: A Cross-Domain Framework for Protein-Molecule Representation Learning via Biochemical Reaction Networks

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By Kira Radinsky
| arXiv
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[2405.13812] Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform

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By Kira Radinsky
| arXiv
arXiv:2405.13812 (cs) View PDF Subjects: Machine Learning (cs.LG) Cite as: arXiv:2405.13812 [cs.LG] (or arXiv:2405.13812v1 [cs.LG] for this version) Submission history From: Noam Koren [ view email] [v1] Wed, 22 May 2024 16:42:32 UTC (210 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Links to Code Toggle CatalyzeX Code Finder for...
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