#dimensionality — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #dimensionality, aggregated by home.social.
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Make It Go Faster Dept: The curse of the #Asymptotic regimes awaits if you manage to run the gauntlet of the curse of #Dimensionality. It's great fun but outside of #Science no one knows what the hell your talking about.
Your wielding #Thor 's hammer...but Thor has been reincarnated...as a turtle. It's a grind. Slightly infuriating. The polarity change is there, but unimpressive.You can explain that it's not supposed to be there at all but by then they'll have fallen into a deep sleep... -
Make It Go Faster Dept: The curse of the #Asymptotic regimes awaits if you manage to run the gauntlet of the curse of #Dimensionality. It's great fun but outside of #Science no one knows what the hell your talking about.
Your wielding #Thor 's hammer...but Thor has been reincarnated...as a turtle. It's a grind. Slightly infuriating. The polarity change is there, but unimpressive.You can explain that it's not supposed to be there at all but by then they'll have fallen into a deep sleep... -
Make It Go Faster Dept: The curse of the #Asymptotic regimes awaits if you manage to run the gauntlet of the curse of #Dimensionality. It's great fun but outside of #Science no one knows what the hell your talking about.
Your wielding #Thor 's hammer...but Thor has been reincarnated...as a turtle. It's a grind. Slightly infuriating. The polarity change is there, but unimpressive.You can explain that it's not supposed to be there at all but by then they'll have fallen into a deep sleep... -
Make It Go Faster Dept: The curse of the #Asymptotic regimes awaits if you manage to run the gauntlet of the curse of #Dimensionality. It's great fun but outside of #Science no one knows what the hell your talking about.
Your wielding #Thor 's hammer...but Thor has been reincarnated...as a turtle. It's a grind. Slightly infuriating. The polarity change is there, but unimpressive.You can explain that it's not supposed to be there at all but by then they'll have fallen into a deep sleep... -
Make It Go Faster Dept: The curse of the #Asymptotic regimes awaits if you manage to run the gauntlet of the curse of #Dimensionality. It's great fun but outside of #Science no one knows what the hell your talking about.
Your wielding #Thor 's hammer...but Thor has been reincarnated...as a turtle. It's a grind. Slightly infuriating. The polarity change is there, but unimpressive.You can explain that it's not supposed to be there at all but by then they'll have fallen into a deep sleep... -
🧠 New paper by Clark et al. (2025) shows that the #dimensionality of #PopulationActivity in #RNN can be explained by just two #connectivity parameters: effective #CouplingStrength and effective #rank. Uses networks with rapidly decaying singular value spectra and structured overlaps between left and right singular vectors. Could be useful for interpreting large scale population recordings and connectome data I guess:
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🧠 New paper by Clark et al. (2025) shows that the #dimensionality of #PopulationActivity in #RNN can be explained by just two #connectivity parameters: effective #CouplingStrength and effective #rank. Uses networks with rapidly decaying singular value spectra and structured overlaps between left and right singular vectors. Could be useful for interpreting large scale population recordings and connectome data I guess:
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🧠 New paper by Clark et al. (2025) shows that the #dimensionality of #PopulationActivity in #RNN can be explained by just two #connectivity parameters: effective #CouplingStrength and effective #rank. Uses networks with rapidly decaying singular value spectra and structured overlaps between left and right singular vectors. Could be useful for interpreting large scale population recordings and connectome data I guess:
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🧠 New paper by Clark et al. (2025) shows that the #dimensionality of #PopulationActivity in #RNN can be explained by just two #connectivity parameters: effective #CouplingStrength and effective #rank. Uses networks with rapidly decaying singular value spectra and structured overlaps between left and right singular vectors. Could be useful for interpreting large scale population recordings and connectome data I guess:
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🧠 New paper by Clark et al. (2025) shows that the #dimensionality of #PopulationActivity in #RNN can be explained by just two #connectivity parameters: effective #CouplingStrength and effective #rank. Uses networks with rapidly decaying singular value spectra and structured overlaps between left and right singular vectors. Could be useful for interpreting large scale population recordings and connectome data I guess:
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😆 Wow, hold the phone! We're now measuring #embeddings like they're the new waist size competition for #AI models. 📏 Apparently, someone missed the memo that size matters, but only if you're overcompensating for something else. 🧠 Who knew #dimensionality was the new #vanity metric!
https://vickiboykis.com/2025/09/01/how-big-are-our-embeddings-now-and-why/ #Metrics #Metrics #HackerNews #ngated -
😆 Wow, hold the phone! We're now measuring #embeddings like they're the new waist size competition for #AI models. 📏 Apparently, someone missed the memo that size matters, but only if you're overcompensating for something else. 🧠 Who knew #dimensionality was the new #vanity metric!
https://vickiboykis.com/2025/09/01/how-big-are-our-embeddings-now-and-why/ #Metrics #Metrics #HackerNews #ngated -
😆 Wow, hold the phone! We're now measuring #embeddings like they're the new waist size competition for #AI models. 📏 Apparently, someone missed the memo that size matters, but only if you're overcompensating for something else. 🧠 Who knew #dimensionality was the new #vanity metric!
https://vickiboykis.com/2025/09/01/how-big-are-our-embeddings-now-and-why/ #Metrics #Metrics #HackerNews #ngated -
😆 Wow, hold the phone! We're now measuring #embeddings like they're the new waist size competition for #AI models. 📏 Apparently, someone missed the memo that size matters, but only if you're overcompensating for something else. 🧠 Who knew #dimensionality was the new #vanity metric!
https://vickiboykis.com/2025/09/01/how-big-are-our-embeddings-now-and-why/ #Metrics #Metrics #HackerNews #ngated -
DIMENSIONALITY (Estats Units) presenta nou EP: "Mass's Neverwhere" #Dimensionality #Metalcore #Abril2025 #EstatsUnits #NouEp #Metall #Metal #MúsicaMetal #MetalMusic
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Гравитация – это иллюзия? Скрытые силы в действии
Гравитация традиционно считается одной из основных сил, определяющих динамику тел во Вселенной. Но что если её влияние можно уравновесить без использования тяговых двигателей и энергозатрат? Однако гипотеза о "гравитационно-угловом балансе" предлагает новый взгляд на это взаимодействие. В этой статье мы разберёмся с гипотезой гравитационно-углового баланса – концепцией, основанной на базовых законах физики, которая позволяет найти точки нулевого гравитационного воздействия и по-новому взглянуть на динамику тел в космосе, где гравитация фактически исчезает Читать
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Гравитация – это иллюзия? Скрытые силы в действии
Гравитация традиционно считается одной из основных сил, определяющих динамику тел во Вселенной. Но что если её влияние можно уравновесить без использования тяговых двигателей и энергозатрат? Однако гипотеза о "гравитационно-угловом балансе" предлагает новый взгляд на это взаимодействие. В этой статье мы разберёмся с гипотезой гравитационно-углового баланса – концепцией, основанной на базовых законах физики, которая позволяет найти точки нулевого гравитационного воздействия и по-новому взглянуть на динамику тел в космосе, где гравитация фактически исчезает Читать
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Гравитация – это иллюзия? Скрытые силы в действии
Гравитация традиционно считается одной из основных сил, определяющих динамику тел во Вселенной. Но что если её влияние можно уравновесить без использования тяговых двигателей и энергозатрат? Однако гипотеза о "гравитационно-угловом балансе" предлагает новый взгляд на это взаимодействие. В этой статье мы разберёмся с гипотезой гравитационно-углового баланса – концепцией, основанной на базовых законах физики, которая позволяет найти точки нулевого гравитационного воздействия и по-новому взглянуть на динамику тел в космосе, где гравитация фактически исчезает Читать
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Гравитация – это иллюзия? Скрытые силы в действии
Гравитация традиционно считается одной из основных сил, определяющих динамику тел во Вселенной. Но что если её влияние можно уравновесить без использования тяговых двигателей и энергозатрат? Однако гипотеза о "гравитационно-угловом балансе" предлагает новый взгляд на это взаимодействие. В этой статье мы разберёмся с гипотезой гравитационно-углового баланса – концепцией, основанной на базовых законах физики, которая позволяет найти точки нулевого гравитационного воздействия и по-новому взглянуть на динамику тел в космосе, где гравитация фактически исчезает Читать
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The Dimensions of dimensionality
https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(24)00189-X#Globally interpretable feature dimensions are one property, among others like prediction performance and compactness, that researchers can prioritize when inferring latent representations.
Multidimensional representational spaces can capture complex structures such as hierarchical relationships, lexical entailment, and compositional features.
Superficially different representations, such as graphs and multidimensional data, can capture the same structural relationships under appropriate settings.
The dimensionality of a representation conveys relatively little information on its own.
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The Dimensions of dimensionality
https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(24)00189-X#Globally interpretable feature dimensions are one property, among others like prediction performance and compactness, that researchers can prioritize when inferring latent representations.
Multidimensional representational spaces can capture complex structures such as hierarchical relationships, lexical entailment, and compositional features.
Superficially different representations, such as graphs and multidimensional data, can capture the same structural relationships under appropriate settings.
The dimensionality of a representation conveys relatively little information on its own.
-
The Dimensions of dimensionality
https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(24)00189-X#Globally interpretable feature dimensions are one property, among others like prediction performance and compactness, that researchers can prioritize when inferring latent representations.
Multidimensional representational spaces can capture complex structures such as hierarchical relationships, lexical entailment, and compositional features.
Superficially different representations, such as graphs and multidimensional data, can capture the same structural relationships under appropriate settings.
The dimensionality of a representation conveys relatively little information on its own.
-
The Dimensions of dimensionality
https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(24)00189-X#Globally interpretable feature dimensions are one property, among others like prediction performance and compactness, that researchers can prioritize when inferring latent representations.
Multidimensional representational spaces can capture complex structures such as hierarchical relationships, lexical entailment, and compositional features.
Superficially different representations, such as graphs and multidimensional data, can capture the same structural relationships under appropriate settings.
The dimensionality of a representation conveys relatively little information on its own.
-
The Dimensions of dimensionality
https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(24)00189-X#Globally interpretable feature dimensions are one property, among others like prediction performance and compactness, that researchers can prioritize when inferring latent representations.
Multidimensional representational spaces can capture complex structures such as hierarchical relationships, lexical entailment, and compositional features.
Superficially different representations, such as graphs and multidimensional data, can capture the same structural relationships under appropriate settings.
The dimensionality of a representation conveys relatively little information on its own.
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Pipeline release! nf-core/scdownstream vv0.0.1 - v0.0.1!
Please see the changelog: https://github.com/nf-core/scdownstream/releases/tag/v0.0.1
#clustering #dimensionality-reduction #integration #quality-control #scverse #single-cell #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/scdownstream vv0.0.1 - v0.0.1!
Please see the changelog: https://github.com/nf-core/scdownstream/releases/tag/v0.0.1
#clustering #dimensionality-reduction #integration #quality-control #scverse #single-cell #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/scdownstream vv0.0.1 - v0.0.1!
Please see the changelog: https://github.com/nf-core/scdownstream/releases/tag/v0.0.1
#clustering #dimensionality-reduction #integration #quality-control #scverse #single-cell #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/scdownstream vv0.0.1 - v0.0.1!
Please see the changelog: https://github.com/nf-core/scdownstream/releases/tag/v0.0.1
#clustering #dimensionality-reduction #integration #quality-control #scverse #single-cell #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/scdownstream vv0.0.1 - v0.0.1!
Please see the changelog: https://github.com/nf-core/scdownstream/releases/tag/v0.0.1
#clustering #dimensionality-reduction #integration #quality-control #scverse #single-cell #nfcore #openscience #nextflow #bioinformatics
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'Spherical Rotation Dimension Reduction with Geometric Loss Functions', by Hengrui Luo, Jeremy E. Purvis, Didong Li.
http://jmlr.org/papers/v25/23-0547.html
#spherical #rotation #dimensionality -
'Spherical Rotation Dimension Reduction with Geometric Loss Functions', by Hengrui Luo, Jeremy E. Purvis, Didong Li.
http://jmlr.org/papers/v25/23-0547.html
#spherical #rotation #dimensionality -
'Spherical Rotation Dimension Reduction with Geometric Loss Functions', by Hengrui Luo, Jeremy E. Purvis, Didong Li.
http://jmlr.org/papers/v25/23-0547.html
#spherical #rotation #dimensionality -
'Spherical Rotation Dimension Reduction with Geometric Loss Functions', by Hengrui Luo, Jeremy E. Purvis, Didong Li.
http://jmlr.org/papers/v25/23-0547.html
#spherical #rotation #dimensionality -
'Spherical Rotation Dimension Reduction with Geometric Loss Functions', by Hengrui Luo, Jeremy E. Purvis, Didong Li.
http://jmlr.org/papers/v25/23-0547.html
#spherical #rotation #dimensionality -
Literally Didn't see either video Dept: But this thumbnail flashed by indicating a potential #SuperDeterminism food fight. Not jumping in but SD is interesting because if you don't specify #Dimensionality you might not be super. Some might insist that local determinism has nothing to do with Super...but if causality is acting strangely (say hello to most open problems in the SM)your often forced to consider some topological problem with extra dimensions...So you might have Super in N dimensions-
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Literally Didn't see either video Dept: But this thumbnail flashed by indicating a potential #SuperDeterminism food fight. Not jumping in but SD is interesting because if you don't specify #Dimensionality you might not be super. Some might insist that local determinism has nothing to do with Super...but if causality is acting strangely (say hello to most open problems in the SM)your often forced to consider some topological problem with extra dimensions...So you might have Super in N dimensions-
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OnlineFirst - "Reading in the dark: Shifting governmentalities and the spatial dimensions of legible U.S. flood risk" by Troy Brundidge:
#hydraulicfloodmodeling #governmentality #risk #politicaleconomy #dimensionality
https://journals.sagepub.com/doi/abs/10.1177/0308518X241232528
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OnlineFirst - "Reading in the dark: Shifting governmentalities and the spatial dimensions of legible U.S. flood risk" by Troy Brundidge:
#hydraulicfloodmodeling #governmentality #risk #politicaleconomy #dimensionality
https://journals.sagepub.com/doi/abs/10.1177/0308518X241232528
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'On Sufficient Graphical Models', by Bing Li, Kyongwon Kim.
http://jmlr.org/papers/v25/23-0893.html
#predictors #dimensionality #dimensional -
'On Sufficient Graphical Models', by Bing Li, Kyongwon Kim.
http://jmlr.org/papers/v25/23-0893.html
#predictors #dimensionality #dimensional -
'On Sufficient Graphical Models', by Bing Li, Kyongwon Kim.
http://jmlr.org/papers/v25/23-0893.html
#predictors #dimensionality #dimensional -
'On Sufficient Graphical Models', by Bing Li, Kyongwon Kim.
http://jmlr.org/papers/v25/23-0893.html
#predictors #dimensionality #dimensional -
'On Sufficient Graphical Models', by Bing Li, Kyongwon Kim.
http://jmlr.org/papers/v25/23-0893.html
#predictors #dimensionality #dimensional -
'Operator learning with PCA-Net: upper and lower complexity bounds', by Samuel Lanthaler.
http://jmlr.org/papers/v24/23-0478.html
#pca #complexity #dimensionality -
'Operator learning with PCA-Net: upper and lower complexity bounds', by Samuel Lanthaler.
http://jmlr.org/papers/v24/23-0478.html
#pca #complexity #dimensionality -
'Operator learning with PCA-Net: upper and lower complexity bounds', by Samuel Lanthaler.
http://jmlr.org/papers/v24/23-0478.html
#pca #complexity #dimensionality -
'Operator learning with PCA-Net: upper and lower complexity bounds', by Samuel Lanthaler.
http://jmlr.org/papers/v24/23-0478.html
#pca #complexity #dimensionality -
'Operator learning with PCA-Net: upper and lower complexity bounds', by Samuel Lanthaler.
http://jmlr.org/papers/v24/23-0478.html
#pca #complexity #dimensionality -
'Two Sample Testing in High Dimension via Maximum Mean Discrepancy', by Hanjia Gao, Xiaofeng Shao.
http://jmlr.org/papers/v24/22-1136.html
#dimensionality #gaussian #statistics -
'Two Sample Testing in High Dimension via Maximum Mean Discrepancy', by Hanjia Gao, Xiaofeng Shao.
http://jmlr.org/papers/v24/22-1136.html
#dimensionality #gaussian #statistics