Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Boltzmann machines and energy-based models
Loss Functions for Discriminative Training of Energy-Based Models
Factored conditional restricted Boltzmann Machines for modeling motion style
Implementation of a Restricted Boltzmann Machine in a Spiking Neural Network
Restricted Boltzmann machines for collaborative filtering
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
A highly scalable Restricted Boltzmann Machine FPGA implementation
Sparse Group Restricted Boltzmann Machines
A unified energy-based framework for unsupervised learning
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Trivializing The Energy Landscape Of Deep Networks.
Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach
Regularized dynamic Boltzmann machine with Delay Pruning for unsupervised learning of temporal sequences
Reinforcement Learning with Deep Energy-Based Policies
The Shape Boltzmann Machine: A Strong Model of Object Shape
Attention, Uncertainty, and Free-Energy
Training Restricted Boltzmann Machines on Word Observations
Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models
Calibrating Energy-based Generative Adversarial Networks
Bayesian Learning via Stochastic Gradient Langevin Dynamics
Learning Probabilistic Networks
How to Pitch a Brilliant Idea
Infinite-Horizon Policy-Gradient Estimation
How sustainable agriculture can address the environmental and human health harms of industrial agriculture.
High performances of shielded LTCC vertical transitions from DC up to 50 GHz
accelerating blocked matrix - matrix multiplication using a software - managed memory hierarchy with dma .