conftrace_

generative model

2892 papers

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Also known as

GM

Co-occurring keywords

diffusion model (3751) image generation (2073) variational autoencoder (1288) variational inference (2069) neural network (6616) latent space (854) generative adversarial network (1944) representation learning (6206) unsupervised learning (3264) normalizing flow (354)

Papers

Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012
Multiresolution Deep Belief Networks AISTATS 2012
Topographic Analysis of Correlated Components ACML 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Unsupervised Structure Discovery for Semantic Analysis of Audio NIPS 2012
Multimodal Learning with Deep Boltzmann Machines NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011
Group Anomaly Detection using Flexible Genre Models NIPS 2011
Generative Kernels for Exponential Families AISTATS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Image Parsing with Stochastic Scene Grammar NIPS 2011
Variational Learning for Recurrent Spiking Networks NIPS 2011
Joint 3D Estimation of Objects and Scene Layout NIPS 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Discussion of “The Neural Autoregressive Distribution Estimator” AISTATS 2011
Evaluating the inverse decision-making approach to preference learning NIPS 2011
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011
Expressive Power and Approximation Errors of Restricted Boltzmann Machines NIPS 2011
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories AISTATS 2010
Generating more realistic images using gated MRF's NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Generative Models of Information Diffusion with Asynchronous Timedelay ACML 2010
Introduction to Causal Inference JMLR 2010