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🗺️ Manifold Learning
t-SNE, Diffusion Maps, Nonlinear Reduction, Geometry
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121843
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590.8
ms
Deep dive into
Hierarchical
Navigable
Small Worlds
amandeepsp.github.io
·
4d
·
Discuss:
Hacker News
,
r/Zig
,
r/programming
📐
Computational Geometry
An
attempt
at a
First-Proof
AI challenge
abhvio.us
·
3d
·
Discuss:
Hacker News
📐
Computational Geometry
SfM-Net
: Learning of Structure and
Motion
from Video
dev.to
·
4d
·
Discuss:
DEV
🗺️
UMAP
Grouped
Blockscaled
Gemm
veitner.bearblog.dev
·
4d
🔥
ComplexHeatmap
Hybrid
Cryo
‑EM‑Graph Neural Network for Rapid Prediction of Protein‑Protein Interaction Free‑Energy
Landscapes
**Abstract** Quantitative characterization of ...
freederia.com
·
5d
🗺️
Network Visualization
Deep transfer learning based on cross-domain
subsequence
alignment and feature contribution
interpretation
for remaining useful life prediction
sciencedirect.com
·
1d
⛰️
Gradient Descent
Determining
the Chemical Potential via Universal
Density
Functional Learning
link.aps.org
·
18h
🗺️
UMAP
Why do tree-based models still
outperform
deep learning on
tabular
data?
paperium.net
·
4d
·
Discuss:
DEV
⛰️
Gradient Descent
Physics-informed
diffusion models in
spectral
space
arxiv.org
·
1d
🎲
Stochastic differential equation
A 3D pocket-aware and
evolutionary
conserved
interaction guided diffusion model for molecular optimization
chipublib.idm.oclc.org
·
1d
📐
Computational Geometry
Generative
modeling
breno.bearblog.dev
·
4d
🗺️
UMAP
AI algorithm enables tracking of
brainstem
's vital white matter
pathways
medicalxpress.com
·
2d
🗺️
UMAP
Conformational
diversity and fully opening mechanism of native
NMDA
receptor
nature.com
·
15h
🔥
ComplexHeatmap
Data-Centric
Interpretability
for LLM-based Multi-Agent Reinforcement Learning
lesswrong.com
·
5d
🗺️
UMAP
Generative
Modeling
via
Drifting
lambertae.github.io
·
6d
·
Discuss:
Hacker News
⛰️
Gradient Descent
Concode0/Versor
:
Versor
: Stop Projecting, Start Rotating. GBN (Geometric Blade Network) - A new era of AI beyond Linear Algebra.
github.com
·
4d
·
Discuss:
Hacker News
🗺️
UMAP
*META‑Discover: An Automated Knowledge‑Graph‑Driven Pipeline for Emergent Topological
Invariants
in High‑Dimensional Random
Simplicial
Complexes*
freederia.com
·
5d
📐
Computational Geometry
The Role of
Supervised
Fine-Tuning
in AI
hackernoon.com
·
2d
⛰️
Gradient Descent
Data Augmentation by
Pairing
Samples
for Images Classification
dev.to
·
4d
·
Discuss:
DEV
📐
Matrix Factorization
The 4 Gradient
Clipping
Methods: How to Prevent Training from
Exploding
pub.towardsai.net
·
4d
⛰️
Gradient Descent
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