George Papamakarios
10 papers · 2016–2023 · 5 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 · Silver
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(5)
Optimization & Theory · Machine Learning
(5)
Core Methods
(4)
Models
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Types
(2)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
normalizing flow
(4)
likelihood-free inference
(3)
variational inference
(3)
approximate bayesian computation
(2)
posterior distribution
(2)
simulator model
(2)
generative model
(2)
density estimation
(1)
bayesian inference
(1)
approximate inference
(1)
density ratio estimation
(1)
posterior inference
(1)
state representation
(1)
posterior estimation
(1)
autoregressive model
(1)
markov chain monte carlo
(1)
temporal abstraction
(1)
score matching
(1)
language modeling
(1)
probabilistic modeling
(1)
Papers
Compositional Score Modeling for Simulation-Based Inference
ICML 2023
Normalizing Flows for Probabilistic Modeling and Inference
JMLR 2021
The Lipschitz Constant of Self-Attention
ICML 2021
Normalizing Flows on Tori and Spheres
ICML 2020
On Contrastive Learning for Likelihood-free Inference
ICML 2020
Neural Spline Flows
NeurIPS 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
AISTATS 2019
Temporal Difference Variational Auto-Encoder
ICLR 2019
Masked Autoregressive Flow for Density Estimation
NeurIPS 2017
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
NeurIPS 2016