Geoffrey Roeder
4 papers · 2017–2021 · 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
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Core Methods
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Optimization
(1)
Keywords
variational inference
(2)
zero-shot learning
(1)
independent component analysis
(1)
energy minimization
(1)
function space
(1)
variance reduction
(1)
independent components analysis
(1)
posterior approximation
(1)
parametric optimization
(1)
reparameterization gradient
(1)
nonlinear representation
(1)
nonlinear dynamical system
(1)
partial differential equation
(1)
variational autoencoder
(1)
gradient estimator
(1)
ordinary differential equation
(1)
evidence lower bound
(1)
potential energy
(1)
surrogate modeling
(1)
linear identifiability
(1)
Papers
On Linear Identifiability of Learned Representations
ICML 2021
Learning Composable Energy Surrogates for PDE Order Reduction
NeurIPS 2020
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
ICML 2019
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
NeurIPS 2017