Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Making Stochastic Neural Networks from Deterministic Ones
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Spiking neural networks , an introduction
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks
A Neural Stochastic Volatility Model
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
Constructing deterministic finite-state automata in recurrent neural networks
On the Equivalence Between Deep NADE and Generative Stochastic Networks
Nonlinear Network-Induced Time Delay Systems With Stochastic Learning
Spiking Neural Networks
Constructive Training of Probabilistic Neural Networks
Stochastic Training of Residual Networks: a Differential Equation Viewpoint
Fast decorrelated neural network ensembles with random weights
Structured Stochastic Variational Inference
DISCRETIZED NEURAL NETWORKS
Efficient Stochastic Inference of Bitwise Deep Neural Networks
Learning Stable Stochastic Nonlinear Dynamical Systems
Implementing Neural Turing Machines
Bayesian Learning via Stochastic Dynamics
Comparing scalability of message queue system: ZeroMQ vs RabbitMQ
Stochastic Variational Inference
Gated-Attention Architectures for Task-Oriented Language Grounding
Light-dependent delay in the falling phase of the retinal rod photoresponse.
The development and validation of the Body-Image Ideals Questionnaire.