Prospect theory: An analysis of decision under risk
A Thousand Plateaus: Capitalism and Schizophrenia
Being and Nothingness
Dropout: a simple way to prevent neural networks from overfitting
Long short-term memory
Simulacra and Simulation
ImageNet Classification with Deep Convolutional Neural Networks
A Behavioral Theory of the Firm
Deep Residual Learning for Image Recognition
Judgment under Uncertainty: Heuristics and Biases
The Bargaining Problem
Gradient-based learning applied to document recognition
The Prince
Human-level control through deep reinforcement learning
On the Electrodynamics of Moving Bodies
The Role of Monetary Policy
Attention Is All You Need
On Computable Numbers, with an Application to the Entscheidungsproblem
Very Deep Convolutional Networks for Large-Scale Image Recognition
Fuzzy sets
Understanding Media: The Extensions of Man
Adam: A Method for Stochastic Optimization