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🗺️ Manifold Learning
t-SNE, Diffusion Maps, Nonlinear Reduction, Geometry
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83073
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238.5
ms
Dimensionality
Reduction on
Riemannian
Manifolds in Data Analysis
arxiv.org
·
1d
🗺️
UMAP
Deep
Unfolding
: Model-Based
Inspiration
of Novel Deep Architectures
dev.to
·
12h
·
Discuss:
DEV
🗺️
UMAP
Physics‑Informed Graph Variational Autoencoder for Low‑Dimensional Representation of
Intrinsically
Disordered Protein
Ensembles
**Abstract**
Intrinsically
di...
freederia.com
·
1d
🗺️
UMAP
Neural population
geometry
and optimal coding of tasks with shared
latent
structure
nature.com
·
1d
🔢
Embeddings
Causal Representation Meets Stochastic Modeling under
Generic
Geometry
arxiv.org
·
1d
📊
Empirical Bayes
Physics-Informed Neural Networks for
Inverse
PDE
Problems
pub.towardsai.net
·
12h
⛰️
Gradient Descent
Human-like Search for Modern
Applications
anvitra.ai
·
1h
·
Discuss:
Hacker News
🔢
Embeddings
SfM-Net
: Learning of Structure and
Motion
from Video
dev.to
·
10h
·
Discuss:
DEV
🗺️
UMAP
Hypernetworks
: Neural Networks for
Hierarchical
Data
blog.sturdystatistics.com
·
2d
·
Discuss:
Hacker News
⛰️
Gradient Descent
Nonlinear random walks on
hypergraphs
characterized
by higher-order interactions
sciencedirect.com
·
13h
🔗
Markov Chains
Fastfood
: Approximate Kernel Expansions in
Loglinear
Time
paperium.net
·
2h
·
Discuss:
DEV
🗺️
UMAP
A Chinese Traditional
Opera
Video Super-Resolution Dataset Based on the “Real-world+”
Degradation
Fusion
nature.com
·
16h
📐
Matrix Factorization
The Better Lesson?
Geometry
and
Topology
in the Era of Deep Learning
bastian.rieck.me
·
3d
·
Discuss:
Hacker News
🔢
Embeddings
Teon
Demonstrates
Improved Pre-Training With Language Models Up To 1B Parameters
quantumzeitgeist.com
·
2d
⛰️
Gradient Descent
*META‑Discover: An Automated Knowledge‑Graph‑Driven Pipeline for Emergent Topological
Invariants
in High‑Dimensional Random
Simplicial
Complexes*
freederia.com
·
1d
📐
Computational Geometry
Leveraging the capabilities of
physics-informed
neural networks for channel optimization in
PEM
fuel cells
sciencedirect.com
·
8h
⛰️
Gradient Descent
What
Spectroscopy
Was to the
1800s
, Embeddings Are to Science Now
mnky9800n.substack.com
·
3d
·
Discuss:
Substack
🔢
Embeddings
The Little Book of
Linear
Algebra
little-book-of.github.io
·
1d
📐
Matrix Factorization
Logistic
Regression, Average Marginal Effects, and the Linear Probability Model - Part II:
Coefficients
and AMEs of nested models
elff.eu
·
1d
📈
Linear Models
Face Search &
Reverse
Image Search
surfface.com
·
19h
🔢
Embeddings
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