11 citations · 20 across the 9 of their papers we have counts for
4 papers · 1 filter
Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods
Richard Diehl Martinez, Geoffrey Angus, Rooz Mahdavian
We present a method for a wine recommendation system that employs multidimensional clustering and unsupervised learning methods. Our algorithm first performs clustering on a large…
Using General Adversarial Networks for Marketing: A Case Study of Airbnb
Richard Diehl Martinez, John Kaleialoha Kamalu
In this paper, we examine the use case of general adversarial networks (GANs) in the field of marketing. In particular, we analyze how GAN models can replicate text patterns from s…
Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles
Rooz Mahdavian, Richard Diehl Martinez
We introduce Ignition: an end-to-end neural network architecture for training unconstrained self-driving vehicles in simulated environments. The model is a ResNet-18 variant, which…
Theory of Machine Networks: A Case Study
Rooz Mahdavian, Richard Diehl Martinez
We propose a simplification of the Theory-of-Mind Network architecture, which focuses on modeling complex, deterministic machines as a proxy for modeling nondeterministic, consciou…