Principal component analysis

M Greenacre, PJF Groenen, T Hastie… - Nature Reviews …, 2022 - nature.com
Principal component analysis is a versatile statistical method for reducing a cases-by-
variables data table to its essential features, called principal components. Principal …

First-principles phonon calculations with phonopy and phono3py

A Togo - Journal of the Physical Society of Japan, 2023 - journals.jps.jp
Harmonic, quasi-harmonic, and anharmonic phonon properties of crystals are getting to be
better predicted using first-principles phonon calculations by virtue of the progress of the …

Robust speech recognition via large-scale weak supervision

A Radford, JW Kim, T Xu, G Brockman… - International …, 2023 - proceedings.mlr.press
We study the capabilities of speech processing systems trained simply to predict large
amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual …

[HTML][HTML] The NANOGrav 15 yr data set: Evidence for a gravitational-wave background

G Agazie, A Anumarlapudi, AM Archibald… - The Astrophysical …, 2023 - iopscience.iop.org
We report multiple lines of evidence for a stochastic signal that is correlated among 67
pulsars from the 15 yr pulsar timing data set collected by the North American Nanohertz …

Search for an isotropic gravitational-wave background with the Parkes Pulsar Timing Array

DJ Reardon, A Zic, RM Shannon… - The Astrophysical …, 2023 - iopscience.iop.org
Pulsar timing arrays aim to detect nanohertz-frequency gravitational waves (GWs). A
background of GWs modulates pulsar arrival times and manifests as a stochastic process …

Objaverse-xl: A universe of 10m+ 3d objects

M Deitke, R Liu, M Wallingford, H Ngo… - Advances in …, 2024 - proceedings.neurips.cc
Natural language processing and 2D vision models have attained remarkable proficiency on
many tasks primarily by escalating the scale of training data. However, 3D vision tasks have …

Symbolic discovery of optimization algorithms

X Chen, C Liang, D Huang, E Real… - Advances in neural …, 2024 - proceedings.neurips.cc
We present a method to formulate algorithm discovery as program search, and apply it to
discover optimization algorithms for deep neural network training. We leverage efficient …

The astropy project: sustaining and growing a community-oriented open-source project and the latest major release (v5. 0) of the core package

AM Price-Whelan, PL Lim, N Earl… - The Astrophysical …, 2022 - iopscience.iop.org
The Python programming language is a high-level, interpreted (as opposed to compiled)
programming language that has become an industry standard across many computational …

Voxposer: Composable 3d value maps for robotic manipulation with language models

W Huang, C Wang, R Zhang, Y Li, J Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) are shown to possess a wealth of actionable knowledge that
can be extracted for robot manipulation in the form of reasoning and planning. Despite the …

Semantic reconstruction of continuous language from non-invasive brain recordings

J Tang, A LeBel, S Jain, AG Huth - Nature Neuroscience, 2023 - nature.com
A brain–computer interface that decodes continuous language from non-invasive recordings
would have many scientific and practical applications. Currently, however, non-invasive …