David Zoltowski
6 papers · 2018–2024 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Gold
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Optimization & Theory
(4)
Interdisciplinary
(3)
Artificial Intelligence
(2)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Optimization
(2)
Research
(2)
Science
(2)
Deep Learning
(1)
Architectures
(1)
Cognitive Science
(1)
Keywords
variational inference
(3)
gaussian process
(2)
neural dynamics
(2)
polynomial approximation
(2)
high-dimensional inference
(1)
markov chain monte carlo
(1)
low-rank approximation
(1)
maximum likelihood
(1)
maximum a posteriori
(1)
gaussian process factor analysis
(1)
gaussian priors
(1)
neural population
(1)
slice sampling
(1)
neural data analysis
(1)
drift diffusion model
(1)
scalable inference
(1)
nonlinear dynamics
(1)
latent variable model
(1)
switching linear dynamical system
(1)
state space model
(1)
Papers
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
NeurIPS 2024
Structured flexibility in recurrent neural networks via neuromodulation
NeurIPS 2024
Slice Sampling Reparameterization Gradients
NeurIPS 2021
A general recurrent state space framework for modeling neural dynamics during decision-making
ICML 2020
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations
ICML 2020
Scaling the Poisson GLM to massive neural datasets through polynomial approximations
NeurIPS 2018