Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Wasserstein Training of Restricted Boltzmann Machines
Deep Boltzmann Machines and the Centering Trick
Wasserstein GAN
Explainable Restricted Boltzmann Machines for Collaborative Filtering
Conditional High-Order Boltzmann Machines for Supervised Relation Learning
Boltzmann machines for time-series
Online Deep Learning: Growing RBM on the fly
Modeling Documents with a Deep Boltzmann Machine
The Cramer Distance as a Solution to Biased Wasserstein Gradients
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
Bayesian Learning via Stochastic Gradient Langevin Dynamics
Probabilistic Natural Language Generation with Wasserstein Autoencoders
Learning Thermodynamics with Boltzmann Machines
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Wasserstein is all you need Anonymous EMNLP submission
Conditional Restricted Boltzmann Machines for Structured Output Prediction
Regularized dynamic Boltzmann machine with Delay Pruning for unsupervised learning of temporal sequences
Belief Propagation in Conditional RBMs for Structured Prediction
Annealing Gaussian into ReLU: a New Sampling Strategy for Leaky-ReLU RBM
A Noisy-Or Discriminative Restricted Boltzmann Machine for Recognizing Handwriting Style Development
On the equivalence of Hopfield Networks and Boltzmann Machines
API design for machine learning software: experiences from the scikit-learn project
A computational intelligence scheme for the prediction of the daily peak load
Development of an intelligent agent-based AGV controller for a flexible manufacturing system
Group-sparse subspace clustering with missing data
Input space versus feature space in kernel-based methods