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🔗 Markov Chains
Stochastic Processes, State Transitions, Probability Models
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112608
posts in
470.0
ms
Towards Probabilistic Strategic
Timed
CTL
arxiv.org
·
2d
📊
Empirical Bayes
Provably Efficient Algorithms for S- and
Non-Rectangular
Robust MDPs with General
Parameterization
arxiv.org
·
1d
🎪
Convex Optimization
Table of
Contents
- Data Engineering for Large Models: Architecture,
Algorithms
& Projects
datascale-ai.github.io
·
17h
·
Discuss:
Lobsters
🔢
Embeddings
Olmix
: A framework for data mixing throughout
LM
development
allenai.org
·
1d
📐
Computational Geometry
Structure
by
exclusion
nature.com
·
1d
📊
Differential Expression
Swift
Concurrency
from Zero to
Hero
| Reading List
swiftology.io
·
21h
🔲
Zarr
Informational
Inequivalence
of Formally Equivalent Mathematical Frameworks: A Multi-Framework Analysis of the Inverse Square Law
zenodo.org
·
1d
·
Discuss:
Hacker News
📊
Empirical Bayes
The
Redundancy
Paradox
mihirdeshpande.com
·
2d
·
Discuss:
Hacker News
🔲
Zarr
Completed
Hyperparameter
Transfer across Modules, Width, Depth, Batch and
Duration
machinelearning.apple.com
·
1d
⛰️
Gradient Descent
Macroscopic
Fluctuation-Response
Theory and Its Use for Gene Regulatory Networks
link.aps.org
·
3d
📊
Differential Expression
Optimal
Best-of-Both-Worlds
Consensus
eprint.iacr.org
·
1d
🎪
Convex Optimization
Conditions,
Phases
, and
Declarative
Phase Rules in Kubernetes Operators
dev.to
·
22h
·
Discuss:
DEV
🚀
Streamlit
Tiny
Recursion
Models (
TRM
): How Tiny Networks With
Recursion
Beat Large Models on Hard Puzzles
pub.towardsai.net
·
17h
⛰️
Gradient Descent
Are Multi-Agent LLM
Workflows
Quietly
Amplifying
Mistakes?
medium.com
·
1d
·
Discuss:
DEV
🦠
Whole cell model
Addendum
: Data splitting against information leakage with
DataSAIL
nature.com
·
1d
📦
Pseudobulk
Optimization of interpretable
hydropower
reservoir operation rules by
denoising
diffusion probabilistic model, parallel chaotic cooperation search algorithm and...
sciencedirect.com
·
1d
⛰️
Gradient Descent
Nick
Bostrom
: Optimal Timing for
Superintelligence
lesswrong.com
·
1d
🗺️
UMAP
Generalized
Kuramoto
Models & Hyperbolic Graph Clustering in
Lorentz
Space
hackernoon.com
·
1d
🗺️
UMAP
Proper and
Improper
Mixed States Serve as Different Prior Beliefs for Quantum State
Retrodiction
link.aps.org
·
1d
📊
Empirical Bayes
v6 (Code 2 here) — Most complete architecture. This version is faster than my old v5,
statistically
correct, has all the advanced psychology/network features, and produces stunning
visualizations
gist.github.com
·
2d
·
Discuss:
r/C_Programming
🗺️
Network Visualization
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