David Zoltowski
6 papers · 2018–2024 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (6) π Cross-Pollinator (13)
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Renaissance Researcher
(6)
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Taxonomy Completionist
(20)
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Hot Topic Early Bird
Conferences
NIPS (4)
ICML (2)
Top co-authors
Keywords
variational inference
(3)
polynomial approximation
(2)
neural dynamics
(2)
gaussian process
(2)
bayesian inference
(1)
high-dimensional inference
(1)
approximate inference
(1)
latent variable model
(1)
maximum likelihood
(1)
low-rank approximation
(1)
maximum a posteriori
(1)
gaussian process factor analysis
(1)
gaussian priors
(1)
neural population
(1)
neural data analysis
(1)
slice sampling
(1)
scalable inference
(1)
nonlinear dynamics
(1)
markov chain monte carlo
(1)
dimensionality reduction
(1)
Papers
Structured flexibility in recurrent neural networks via neuromodulation
NIPS 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
NIPS 2024
Slice Sampling Reparameterization Gradients
NIPS 2021
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations
ICML 2020
A general recurrent state space framework for modeling neural dynamics during decision-making
ICML 2020
Scaling the Poisson GLM to massive neural datasets through polynomial approximations
NIPS 2018