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Machine Learning
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neural networks, deep learning, ML, training data
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56
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Generalization in
Deep
Neural
Networks
: Minimax Rates for Gradient Methods
聽
馃搳
Vector DBs
聽
Content type:
Academic
arxiv.org
路
2d
2 days ago
Actions for Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods
Gradient
descent
at the Edge of Stability: free energy
model
and kinetic description of the two-layer network
聽
馃敘
Linear Algebra
聽
Content type:
Academic
arxiv.org
路
5d
5 days ago
Actions for Gradient descent at the Edge of Stability: free energy model and kinetic description of the two-layer network
Optimal Rates for Generalization of
Gradient
Descent
Methods with
Deep
Neural Networks
聽
馃
Computational Neuroscience
聽
Content type:
Academic
arxiv.org
路
2d
2 days ago
Actions for Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks
GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis
聽
馃
Computational Neuroscience
聽
Content type:
Academic
arxiv.org
路
5d
5 days ago
Actions for GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis
Flatland: The Adventures of
Gradient
Descent
with
Large
Step Sizes
聽
馃敘
Linear Algebra
聽
Content type:
Academic
arxiv.org
路
2d
2 days ago
Actions for Flatland: The Adventures of Gradient Descent with Large Step Sizes
Second-Order Path Kernel Interpolation Formulas in
Machine
Learning
聽
馃搳
Vector DBs
聽
Content type:
Academic
arxiv.org
路
2d
2 days ago
Actions for Second-Order Path Kernel Interpolation Formulas in Machine Learning
An Ensembled Latent
Factor
Model
via Differential Evolution and
Gradient
Descent Optimization
聽
馃敘
Linear Algebra
聽
Content type:
Academic
arxiv.org
路
6d
6 days ago
Actions for An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization
Reinforcement
Learning
for Flow-Matching Policies with Density Transport
聽
馃
Computational Neuroscience
聽
Content type:
Academic
arxiv.org
路
1d
1 day ago
Actions for Reinforcement Learning for Flow-Matching Policies with Density Transport
Fourier fractal dimension to predict the generalization of
deep
neural
networks
聽
馃搻
Mathematics
聽
Content type:
Academic
arxiv.org
路
1d
1 day ago
Actions for Fourier fractal dimension to predict the generalization of deep neural networks
Pseudospectral Bounds for Transient Amplification in Coupled
Gradient
Descent
聽
馃敘
Linear Algebra
聽
Content type:
Academic
arxiv.org
路
6d
6 days ago
Actions for Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent
Multilevel Stochastic
Gradient
Descent
for Risk-Averse PDE-Constrained Optimization
聽
馃捇
Computer Science
聽
Content type:
Academic
arxiv.org
路
1d
1 day ago
Actions for Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization
Pretraining Recurrent
Networks
without Recurrence
聽
馃
Computational Neuroscience
聽
Content type:
Academic
arxiv.org
路
5d
5 days ago
Actions for Pretraining Recurrent Networks without Recurrence
Variational Proximal Policy Optimization
聽
馃
Computational Neuroscience
聽
Content type:
Academic
arxiv.org
路
1d
1 day ago
Actions for Variational Proximal Policy Optimization
Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
聽
馃敘
Linear Algebra
聽
Content type:
Academic
arxiv.org
路
2d
2 days ago
Actions for Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
Stein Kernelized Molecular Dynamics for Active
Learning
of Interatomic Potentials
聽
馃
Computational Neuroscience
聽
Content type:
Academic
arxiv.org
路
6d
6 days ago
Actions for Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials
Predictive Coding with Bayesian Priors via Proximal
Gradients
聽
馃搳
Vector DBs
聽
Content type:
Academic
arxiv.org
路
1d
1 day ago
Actions for Predictive Coding with Bayesian Priors via Proximal Gradients
A prism hierarchy of
learning
regimes in
large
linear autoencoders
聽
馃敘
Linear Algebra
聽
Content type:
Academic
arxiv.org
路
5d
5 days ago
Actions for A prism hierarchy of learning regimes in large linear autoencoders
Learning
Dynamics Reveal a Hierarchy of Weight-Induced Layerwise
Gram
Metrics
聽
馃
Computational Neuroscience
聽
Content type:
Academic
arxiv.org
路
1d
1 day ago
Actions for Learning Dynamics Reveal a Hierarchy of Weight-Induced Layerwise Gram Metrics
When Both Layers
Learn
:
Training
Dynamics of Representing Linear
Models
via ReLU Networks
聽
馃搳
Vector DBs
聽
Content type:
Academic
arxiv.org
路
6d
6 days ago
Actions for When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks
Hybridizing Equilibrium Propagation with Ising
Machines
for Efficient Energy-Based
Learning
聽
馃
Computational Neuroscience
聽
Content type:
Academic
arxiv.org
路
1d
1 day ago
Actions for Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning
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