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Calculus + AI
🤖 Calculus + AI
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132
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Agents Need Work Data: A Primer on RLWD, or Reinforcement
Learning
on Work Data
📈
Optimization
anjalishriva.com
·
2d
2 days ago
·
Hacker News
Actions for Agents Need Work Data: A Primer on RLWD, or Reinforcement Learning on Work Data
Mirror
Descent
Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity
🔄
Backpropagation
Content type:
Academic
arxiv.org
·
19h
19 hours ago
Actions for Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity
Designing Loops That Prompt Coding Agents: The Six I Actually Run
🔄
Backpropagation
cameronwestland.com
·
2d
2 days ago
·
Hacker News
Actions for Designing Loops That Prompt Coding Agents: The Six I Actually Run
The Untrainable
🔄
Backpropagation
Content type:
News
Content type:
Blog
saranormous.substack.com
·
1d
1 day ago
·
Substack
Actions for The Untrainable
Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
📈
Optimization
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
Tampa Bay tech, entrepreneur, and nerd events list (Monday, June 8 – Sunday, June 14)
🔄
Backpropagation
globalnerdy.com
·
6d
6 days ago
Actions for Tampa Bay tech, entrepreneur, and nerd events list (Monday, June 8 – Sunday, June 14)
Growing Pains of Starting a Secret Society
🔄
Backpropagation
Content type:
Blog
mrmarket.bearblog.dev
·
2d
2 days ago
·
Hacker News
Actions for Growing Pains of Starting a Secret Society
A Theory on Flow Matching with
Neural
Networks
🔄
Backpropagation
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for A Theory on Flow Matching with Neural Networks
What are
AI
parameters — and why does everyone keep talking about billions of them?
🔄
Backpropagation
Content type:
Blog
medium.com
·
3d
3 days ago
Actions for What are AI parameters — and why does everyone keep talking about billions of them?
Diverse binding poses of agonistic neurotoxins on human Na v 1.6
🤖
Linear Algebra + AI
Content type:
Academic
nature.com
·
1d
1 day ago
Actions for Diverse binding poses of agonistic neurotoxins on human Na v 1.6
Second-Order Path Kernel Interpolation Formulas in
Machine
Learning
📈
Optimization
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for Second-Order Path Kernel Interpolation Formulas in Machine Learning
UK ‘missing in action’ as Iran war hits farmers around the world
🎲
Bayesian Inference
Content type:
News
the-independent.com
·
1d
1 day ago
Actions for UK ‘missing in action’ as Iran war hits farmers around the world
Conservation Laws from Data Symmetry in
Neural
Networks
📈
Optimization
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Conservation Laws from Data Symmetry in Neural Networks
Fine-tuning Multi-modal LLMs with
ART
:
Art-based
Reinforcement Training
🤖
Linear Algebra + AI
Content type:
Academic
arxiv.org
·
19h
19 hours ago
Actions for Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
fastai: style
🤖
Linear Algebra + AI
Content type:
Reference
docs.fast.ai
·
4d
4 days ago
·
Hacker News
Actions for fastai: style
Predictive Coding with Bayesian Priors via Proximal
Gradients
🎲
Bayesian Inference
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Predictive Coding with Bayesian Priors via Proximal Gradients
Exploring the Design Space of Reward
Backpropagation
for Flow Matching
🤖
Linear Algebra + AI
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Exploring the Design Space of Reward Backpropagation for Flow Matching
Predicting Physical and Physical-Chemical Properties of Molecular-Based Materials Using Computational
Neural
Networks
🤖
Linear Algebra + AI
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Predicting Physical and Physical-Chemical Properties of Molecular-Based Materials Using Computational Neural Networks
Generalization in Deep
Neural
Networks
: Minimax Rates for
Gradient
Methods
📈
Optimization
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods
Improving the sharpness in
neural
network-based
parametric post-processing of ensemble forecasts
📈
Optimization
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Improving the sharpness in neural network-based parametric post-processing of ensemble forecasts
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