Search Results for author: Jake Smith

Found 3 papers, 2 papers with code

MatterGen: a generative model for inorganic materials design

2 code implementations • 6 Dec 2023 • Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Sasha Shysheya, Jonathan Crabbé, Lixin Sun, Jake Smith, Bichlien Nguyen, Hannes Schulz, Sarah Lewis, Chin-wei Huang, Ziheng Lu, Yichi Zhou, Han Yang, Hongxia Hao, Jielan Li, Ryota Tomioka, Tian Xie

We further introduce adapter modules to enable fine-tuning towards any given property constraints with a labeled dataset.

model

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MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design

no code implementations • 16 Oct 2023 • Xiang Fu, Tian Xie, Andrew S. Rosen, Tommi Jaakkola, Jake Smith

Metal-organic frameworks (MOFs) are of immense interest in applications such as gas storage and carbon capture due to their exceptional porosity and tunable chemistry.

Denoising Diversity +1

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What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

1 code implementation • 12 May 2023 • Griffin Adams, Bichlien H Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad

Summarization models often generate text that is poorly calibrated to quality metrics because they are trained to maximize the likelihood of a single reference (MLE).

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