conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
amortized inference
amortized inference
102 papers
Explore in graph
Co-occurring keywords
variational inference
(2069)
variational autoencoder
(1288)
neural network
(6616)
generative model
(2892)
bayesian inference
(1907)
posterior approximation
(132)
latent variable model
(564)
importance sampling
(318)
latent variable
(541)
gaussian process
(1200)
Papers
Generalization Gap in Amortized Inference
NIPS 2022
Training stochastic stabilized supralinear networks by dynamics-neutral growth
NIPS 2022
Generative Flow Networks for Discrete Probabilistic Modeling
ICML 2022
Learning Neural Set Functions Under the Optimal Subset Oracle
NIPS 2022
Probabilistic surrogate networks for simulators with unbounded randomness
UAI 2022
Efficient inference for dynamic topic modeling with large vocabularies
UAI 2022
Amortized Mixing Coupling Processes for Clustering
NIPS 2022
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process
AAAI 2022
Neural Point Process for Learning Spatiotemporal Event Dynamics
L4DC 2022
Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders
CVPR 2022
Latent Time Neural Ordinary Differential Equations
AAAI 2022
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
NIPS 2022
Amortized Rejection Sampling in Universal Probabilistic Programming
AISTATS 2022
Langevin Autoencoders for Learning Deep Latent Variable Models
NIPS 2022
Structured Recognition for Generative Models with Explaining Away
NIPS 2022
Foundation Posteriors for Approximate Probabilistic Inference
NIPS 2022
Learning Not to Learn: Nature versus Nurture In Silico
AAAI 2022
Amortized Inference for Causal Structure Learning
NIPS 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models
NIPS 2022
Automatic variational inference with cascading flows
ICML 2021
Amortized Variational Inference for Simple Hierarchical Models
NIPS 2021
Nested Variational Inference
NIPS 2021
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
ICML 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning
L4DC 2021
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
ICML 2021
<
1
2
3
4
5
>