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🗺️ Manifold Learning
t-SNE, Diffusion Maps, Nonlinear Reduction, Geometry
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123846
posts in
959.9
ms
Blind denoising diffusion models and the
blessings
of
dimensionality
arxiv.org
·
14h
📊
Empirical Bayes
I built an AI app that
roasts
your vibe based on a
selfie
firstvibe.app
·
2d
·
Discuss:
r/SideProject
🔢
Embeddings
Global Optimization By
Gradient
from Hierarchical Score-Matching
Spaces
arxiv.org
·
1d
⛰️
Gradient Descent
A
Normalized
Gaussian
Wasserstein
Distance for Tiny Object Detection
paperium.net
·
3d
·
Discuss:
DEV
🗺️
UMAP
Quantized
Tensor Train Compression For Turbulent Flow Simulation: O(log N) Scaling with
Reynolds-Independent
Bond Dimension
zenodo.org
·
2d
·
Discuss:
Hacker News
🔥
ComplexHeatmap
Introspective
Interpretability
: a Definition, Motivation, and Open Problems
lesswrong.com
·
1d
📊
Empirical Bayes
Hypernetworks
: Neural Networks for
Hierarchical
Data
blog.sturdystatistics.com
·
6d
·
Discuss:
Hacker News
⛰️
Gradient Descent
Predictive free energy simulations through hierarchical
distillation
of quantum
Hamiltonians
pnas.org
·
6h
🔗
Markov Chains
Empowerment of accurate modeling of
anaerobic
membrane
bioreactors
by automated machine learning
sciencedirect.com
·
5h
⛰️
Gradient Descent
A 3D
pocket-aware
and
affinity-guided
diffusion model for lead optimization
chipublib.idm.oclc.org
·
1d
📐
Computational Geometry
1.8x Increase in Training Speed, 78% Reduction in Inference
Overhead
: Accurate Question Selection
Efficiently
Accelerates RL Training
eu.36kr.com
·
2d
⛰️
Gradient Descent
Human-like Search for Modern
Applications
anvitra.ai
·
3d
·
Discuss:
Hacker News
🔢
Embeddings
Understanding Neural Network,
Visually
news.ycombinator.com
·
4d
·
Discuss:
Hacker News
🗺️
UMAP
Physics-Informed Neural Networks for
Inverse
PDE
Problems
pub.towardsai.net
·
4d
⛰️
Gradient Descent
Your brain can learn an image in a single
glance
earth.com
·
2d
🗺️
UMAP
From
Pixels
to
Precision
dev.to
·
1d
·
Discuss:
DEV
🗺️
UMAP
TANGO
: Analysis and curation of particles in
cryo-electron
tomography
nature.com
·
1d
🗺️
UMAP
**Abstract:** This paper proposes a novel methodology for automated spectral decomposition and anomaly detection within
Riemannian
geometry, specifically
foc
...
freederia.com
·
5d
🗺️
UMAP
Robotics
Motion Learning: Training Linked Robot Arms with
Kuramoto
Models
hackernoon.com
·
3h
📐
Computational Geometry
Sora
: A Review on Background, Technology,
Limitations
, and Opportunities of Large Vision Models
paperium.net
·
1d
·
Discuss:
DEV
🗺️
UMAP
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