#dimensionality — Public Fediverse posts

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:

🌍 https://doi.org/10.1103/2jt7-c8cq

#CompNeuro #NeuralDynamics #Connectome

😆 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

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

https://habr.com/ru/articles/881582/

#Gravitation #balance #Dimensionality #quantum #illusion

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.

#representation #dimensionality #cogsci #ml #datascience

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.

#representation #dimensionality #cogsci #ml #datascience

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

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

'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

'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

'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

This graphic makes some people very, very uncomfortable.

#perspective #truth #subjective #objective #epistemology #debate #dimensionality

This graphic makes some people very, very uncomfortable.

#perspective #truth #subjective #objective #epistemology #debate #dimensionality

'Small Transformers Compute Universal Metric Embeddings', by Anastasis Kratsios, Valentin Debarnot, Ivan Dokmanić.

http://jmlr.org/papers/v24/22-1246.html

#embeddings #embedding #dimensionality

'Small Transformers Compute Universal Metric Embeddings', by Anastasis Kratsios, Valentin Debarnot, Ivan Dokmanić.

http://jmlr.org/papers/v24/22-1246.html

#embeddings #embedding #dimensionality

'A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection', by Di Bo, Hoon Hwangbo, Vinit Sharma, Corey Arndt, Stephanie TerMaath.

http://jmlr.org/papers/v24/21-1046.html

#dimensionality #dimensional #subspaces

'A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection', by Di Bo, Hoon Hwangbo, Vinit Sharma, Corey Arndt, Stephanie TerMaath.

http://jmlr.org/papers/v24/21-1046.html

#dimensionality #dimensional #subspaces

#Hopf #Fibration Explained Better than #EricWeinstein did on #JoeRogan

https://www.youtube.com/watch?v=PYR9worLEGo&ab_channel=TheTruthw%2FCarlosFarias

#HopfFibration #Physics #Math #Maths #Mathematics #Manifold #Manifolds #Geometry #ManifoldGeometry #NonManifoldGeometry #Dimensions #Dimensionality #Coordinates #Coordinate #PositionSpace #3Sphere

#Hopf #Fibration Explained Better than #EricWeinstein did on #JoeRogan

https://www.youtube.com/watch?v=PYR9worLEGo&ab_channel=TheTruthw%2FCarlosFarias

#HopfFibration #Physics #Math #Maths #Mathematics #Manifold #Manifolds #Geometry #ManifoldGeometry #NonManifoldGeometry #Dimensions #Dimensionality #Coordinates #Coordinate #PositionSpace #3Sphere

What is the #Hopf #Fibration?

The #HopfFibration commonly shows up in discussions surrounding #GaugeTheory and #Fundamental #Physics, though its construction is not so mysterious.

https://www.youtube.com/watch?v=nsHcKO7HvFY&ab_channel=Poppro

#Math #Maths #Mathematics #Manifold #Manifolds #Geometry #ManifoldGeometry #NonManifoldGeometry #Dimensions #Dimensionality #Coordinates #Coordinate #PositionSpace #3Sphere

What is the #Hopf #Fibration?

The #HopfFibration commonly shows up in discussions surrounding #GaugeTheory and #Fundamental #Physics, though its construction is not so mysterious.

https://www.youtube.com/watch?v=nsHcKO7HvFY&ab_channel=Poppro

#Math #Maths #Mathematics #Manifold #Manifolds #Geometry #ManifoldGeometry #NonManifoldGeometry #Dimensions #Dimensionality #Coordinates #Coordinate #PositionSpace #3Sphere

TLDR: Twin Learning for Dimensionality Reduction

Yannis Kalantidis, Carlos Eduardo Rosar Kos Lassance, Jon Almazán, Diane Larlus

https://openreview.net/forum?id=86fhqdBUbx

#dimensionality #dimensional #supervised

TLDR: Twin Learning for Dimensionality Reduction

Yannis Kalantidis, Carlos Eduardo Rosar Kos Lassance, Jon Almazán, Diane Larlus

https://openreview.net/forum?id=86fhqdBUbx

#dimensionality #dimensional #supervised

'On Distance and Kernel Measures of Conditional Dependence', by Tianhong Sheng, Bharath K. Sriperumbudur.

http://jmlr.org/papers/v24/20-238.html

#kernels #dependence #dimensionality

'On Distance and Kernel Measures of Conditional Dependence', by Tianhong Sheng, Bharath K. Sriperumbudur.

http://jmlr.org/papers/v24/20-238.html

#kernels #dependence #dimensionality

By way of #introduction for the great migration: I am a builder of models: computational (#ml, #machinelearning), mathematical, and scale models (#hoscale #scalemodel). Working as a computational biologist / bioinformaticist for ExosomeDx. (#multiomics #scRNA-seq #dimensionality #bioinformatics #computationalbiology #compbio) Follower of and/or interested in #osint, science history, nuclear power, #trains, pretty birds, canyon hikes, and scientific ethics.

By way of #introduction for the great migration: I am a builder of models: computational (#ml, #machinelearning), mathematical, and scale models (#hoscale #scalemodel). Working as a computational biologist / bioinformaticist for ExosomeDx. (#multiomics #scRNA-seq #dimensionality #bioinformatics #computationalbiology #compbio) Follower of and/or interested in #osint, science history, nuclear power, #trains, pretty birds, canyon hikes, and scientific ethics.