7 citations · 7 across the 4 of their papers we have counts for
4 papers
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
Sebastian J. Wetzel, Zakaria Patel
It has been demonstrated that artificial neural networks like autoencoders or Siamese networks encode meaningful concepts in their latent spaces. However, there does not exist a co…
Enhancing Image Layout Control with Loss-Guided Diffusion Models
Zakaria Patel, Kirill Serkh
Diffusion models are a powerful class of generative models capable of producing high-quality images from pure noise using a simple text prompt. While most methods which introduce a…
Unsupervised Learning of Rydberg Atom Array Phase Diagram with Siamese Neural Networks
Zakaria Patel, Ejaaz Merali, Sebastian J. Wetzel
We introduce an unsupervised machine learning method based on Siamese Neural Networks (SNN) to detect phase boundaries. This method is applied to Monte-Carlo simulations of Ising-t…
Extremal learning: extremizing the output of a neural network in regression problems
Zakaria Patel, Markus Rummel
Neural networks allow us to model complex relationships between variables. We show how to efficiently find extrema of a trained neural network in regression problems. Finding the e…