Jacob Zavatone-Veth
6 papers · 2021–2023 · 1 conference · across top CS/AI conferences
Achievements
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π
Renaissance Researcher
(5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
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Cross-Pollinator
(15)
Conferences
NIPS (6)
Top co-authors
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
NIPS 2023
Long Sequence Hopfield Memory
NIPS 2023
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
NIPS 2023
Natural gradient enables fast sampling in spiking neural networks
NIPS 2022
Exact marginal prior distributions of finite Bayesian neural networks
NIPS 2021
Asymptotics of representation learning in finite Bayesian neural networks
NIPS 2021