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📐 ML Theory
Machine Learning, Math, Statistics, Optimization
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79
posts in
10.8
ms
In-Context
Learning
for Data-Driven Censored Inventory Control
🎮
Reinforcement Learning
arxiv.org
·
6d
Topological Relativity
Theory
: A Quantum Gauge Field Framework for Particle Generations and Emergent Couplings
📡
Information Theory
zenodo.org
·
2d
·
Hacker News
rohitg00/ai-engineering-from-scratch:
Learn
it. Build it. Ship it for others.
🤖
AI Agents
github.com
·
2h
Geometric
quantification of cell phenotype transition
manifolds
with
information
geometry
📡
Information Theory
cell.com
·
13h
Quantum
learning
with tunable
loss
functions
🤖
Machine Learning
nature.com
·
1d
VECTOR Ai security Suite – Vector turns raw pentest notes into client-ready reports in 60 seconds
🏢
Software Industry
betalist.com
·
5d
Why does
off-model
SFT degrade capabilities?
💬
LLMs
lesswrong.com
·
4h
The
Atlas-Learn
Approach to the
Manifold
Hypothesis
🤖
Machine Learning
r-bloggers.com
·
1d
Partial multi-label
learning
via feature
manifold
learning
🤖
Machine Learning
sciencedirect.com
·
6d
This Comprehensive Technical Report for Z-Image Base suggests to train your LORAs with images that have a neutral grey background for best output. Is this true?...
🤖
Machine Learning
rentry.org
·
4d
·
r/StableDiffusion
Efficient and Noise-Tolerant
PAC
Learning
of Multiclass Linear Classifiers
🤖
Machine Learning
arxiv.org
·
2d
needle/docs/simple_attention_networks.md at main
🤖
Machine Learning
github.com
·
4d
Multi-Headed Transformer Architectures as Time-dependent Wasserstein
Gradient
Flows
🧠
Neural Networks
arxiv.org
·
1d
Canonical Regularisation of Wide
Feature-Learning
Neural Networks
🤖
Machine Learning
arxiv.org
·
2d
thereisnospoon/ml-primer.md
at main · dreddnafious/thereisnospoon
🤖
Machine Learning
github.com
·
6d
Convergence
Analysis of the Wasserstein Proximal Algorithm beyond Geodesic
Convexity
🎮
Reinforcement Learning
arxiv.org
·
2d
A Unified Framework for Data-Free One-Step Sampling via Wasserstein
Gradient
Flows
🤖
Machine Learning
arxiv.org
·
2d
On
Kernel
Eigen-alignments of KRR: Reconstruction and
Generalization
🤖
Machine Learning
arxiv.org
·
3d
Implicit
Bias
of Mirror
Flow
in Homogeneous Neural Networks: Sparse and Dense Feature
Learning
🧠
Neural Networks
arxiv.org
·
1d
One-Shot Klein Cutting Planes for Lipschitz Geodesically
Convex
Optimization
in Hyperbolic Space
🧮
Algorithms
arxiv.org
·
2d
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