Jacob Zavatone-Veth
6 papers · 2021–2023 · 1 venue · across top CS/AI venues
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Achievements
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Optimization & Theory · Machine Learning
(4)
Core Methods
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Interdisciplinary
(1)
Architectures
(1)
Learning Types
(1)
Mathematics
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Science
(1)
Keywords
bayesian neural network
(2)
langevin dynamics
(1)
representation learning
(1)
compressed sensing
(1)
bayesian inference
(1)
probabilistic inference
(1)
metropolis-hastings sampling
(1)
deep learning theory
(1)
asymptotic analysis
(1)
gaussian process
(1)
natural gradient
(1)
feature models
(1)
associative memory
(1)
pattern storage
(1)
generalization bound
(1)
spiking neural network
(1)
hopfield network
(1)
learning curve
(1)
neural circuit
(1)
scaling law
(1)
Papers
Learning Curves for Deep Structured Gaussian Feature Models
NeurIPS 2023
Long Sequence Hopfield Memory
NeurIPS 2023
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
NeurIPS 2023
Natural gradient enables fast sampling in spiking neural networks
NeurIPS 2022
Asymptotics of representation learning in finite Bayesian neural networks
NeurIPS 2021
Exact marginal prior distributions of finite Bayesian neural networks
NeurIPS 2021