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boltzmann machine

22 papers

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Also known as

BM

Co-occurring keywords

generative model (2892) markov chain monte carlo (725) variational autoencoder (1288) gibbs sampling (201) composite likelihood (9) discrete latent variable (43) contrastive divergence (32) variational inference (2069) stochastic optimization (1060) object segmentation (154)

Papers

Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions AISTATS 2021
Undirected Graphical Models as Approximate Posteriors ICML 2020
Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions AAAI 2019
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes NIPS 2019
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations ICML 2018
GumBolt: Extending Gumbel trick to Boltzmann priors NIPS 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors NIPS 2018
Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018
A Functional Dynamic Boltzmann Machine IJCAI 2017
Bidirectional Learning for Time-series Models with Hidden Units ICML 2017
Tensor Balancing on Statistical Manifold ICML 2017
Interpretable Sparse High-Order Boltzmann Machines AISTATS 2014
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities ICML 2013
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013
A Generative Model for Parts-based Object Segmentation NIPS 2012
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
Stochastic Composite Likelihood JMLR 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Learning to combine foveal glimpses with a third-order Boltzmann machine NIPS 2010
3D Object Recognition with Deep Belief Nets NIPS 2009