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Variational Inference

1,952 papers

Papers per year

2
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31
252
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Papers

Attentive State-Space Modeling of Disease Progression NIPS 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019
Unconstrained Monotonic Neural Networks NIPS 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models NIPS 2019
Implicit Generation and Modeling with Energy Based Models NIPS 2019
Improving Textual Network Learning with Variational Homophilic Embeddings NIPS 2019
A New Distribution on the Simplex with Auto-Encoding Applications NIPS 2019
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations NIPS 2019
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NIPS 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models NIPS 2019
Importance Weighted Hierarchical Variational Inference NIPS 2019
Explicitly disentangling image content from translation and rotation with spatial-VAE NIPS 2019
Stein Variational Gradient Descent With Matrix-Valued Kernels NIPS 2019
The Thermodynamic Variational Objective NIPS 2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal NIPS 2019
Structured Variational Inference in Continuous Cox Process Models NIPS 2019
Neural Spline Flows NIPS 2019
Learning Hierarchical Priors in VAEs NIPS 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NIPS 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse NIPS 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation NIPS 2019
Adaptive Density Estimation for Generative Models NIPS 2019
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NIPS 2019
Exact Rate-Distortion in Autoencoders via Echo Noise NIPS 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling NIPS 2019