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🗺️ Manifold Learning
t-SNE, Diffusion Maps, Nonlinear Reduction, Geometry
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115908
posts in
2.56
s
Delving
into Spectral
Clustering
with Vision-Language Representations
arxiv.org
·
6h
🗺️
UMAP
Blind denoising diffusion models and the
blessings
of
dimensionality
arxiv.org
·
6h
📊
Empirical Bayes
AI model uses molecular energy to predict the most stable
atom
arrangements
phys.org
·
17h
📐
Computational Geometry
A 3D
pocket-aware
and
affinity-guided
diffusion model for lead optimization
chipublib.idm.oclc.org
·
19h
📐
Computational Geometry
A
Normalized
Gaussian
Wasserstein
Distance for Tiny Object Detection
paperium.net
·
2d
·
Discuss:
DEV
🗺️
UMAP
Your brain can learn an image in a single
glance
earth.com
·
1d
🗺️
UMAP
Understanding Neural Network,
Visually
news.ycombinator.com
·
3d
·
Discuss:
Hacker News
🗺️
UMAP
On the
Tensor
Rank of 3×3 Matrix
Multiplication
: Barriers and Open Problems
zenodo.org
·
3d
·
Discuss:
Hacker News
📐
Matrix Factorization
Introspective
Interpretability
: a Definition, Motivation, and Open Problems
lesswrong.com
·
1d
📊
Empirical Bayes
Eshaancoding/ad
:
Autodiff
created in Python. Full ahead-of-time compiler. Reduces to ~12 simple operations. Multiple IRs (Graph IR --> Procedural IR). Kernel Fusion, Memory/Computation Optimization
github.com
·
2d
·
Discuss:
Hacker News
🗂️
AnnData
A Large-Scale In-the-wild
Dataset
for Plant Disease
Segmentation
nature.com
·
2d
🗺️
UMAP
Deep
Unfolding
: Model-Based
Inspiration
of Novel Deep Architectures
dev.to
·
3d
·
Discuss:
DEV
🗺️
UMAP
Hypernetworks
: Neural Networks for
Hierarchical
Data
blog.sturdystatistics.com
·
5d
·
Discuss:
Hacker News
⛰️
Gradient Descent
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
Quantized
Tensor Train Compression For Turbulent Flow Simulation: O(log N) Scaling with
Reynolds-Independent
Bond Dimension
zenodo.org
·
1d
·
Discuss:
Hacker News
🔥
ComplexHeatmap
Physics-Informed Neural Networks for
Inverse
PDE
Problems
pub.towardsai.net
·
3d
⛰️
Gradient Descent
Predictive free energy simulations through hierarchical
distillation
of quantum
Hamiltonians
pnas.org
·
2h
🔗
Markov Chains
Sora
: A Review on Background, Technology,
Limitations
, and Opportunities of Large Vision Models
paperium.net
·
1d
·
Discuss:
DEV
🗺️
UMAP
A Field Guide To
Gaussian
Splatting
rd.nytimes.com
·
2d
📐
Computational Geometry
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