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Earballs: Neural Transmodal Translation
TLDR
This work describes a novel technique for leveraging machine learned feature embeddings to translate visual information into a perceptual audio domain, allowing users to perceive this information using only their aural faculty.
Face-to-Music Translation Using a Distance-Preserving Generative Adversarial Network with an Auxiliary Discriminator
TLDR
This work discovers that the distance preservation constraint in the generative adversarial model leads to reduced diversity in the translated audio samples, and proposes the use of an auxiliary discriminator to enhance the diversity of the translations while using thedistance preservation constraint.
Face-to-Music Translation
TLDR
This work discovers that the distance preservation constraint in the generative adversarial model leads to reduced diversity in the translated audio samples, and proposes the use of an auxiliary discriminator to enhance the diversity of the translations while using thedistance preservation constraint.
Deep Sensory Substitution: Noninvasively Enabling Biological Neural Networks to Receive Input from Artificial Neural Networks
TLDR
This work describes a novel technique for leveraging machine-learned feature embeddings to sonify visual information into a perceptual audio domain, allowing users to perceive this information using only their aural faculty.
Harvesting the atmosphere
An Introduction to Homological Mirror Symmetry and the Case of Elliptic Curves
Here we carefully construct an equivalence between the derived category of coherent sheaves on an elliptic curve and a version of the Fukaya category on its mirror. This is the most accessible case
An Introduction to Homological Mirror Symmetry Through the Case of Elliptic Curves
Here we carefully construct an equivalence between the derived category of coherent sheaves on an elliptic curve and a version of the Fukaya category on its mirror. This is the most accessible case
A One-Dimensional Viscoelastic Cell Motility Model
This project attempts to model the length, velocity, and internal stress experienced by a crawling cell as it moves on a substrate. We assume the cell’s viscoelastic properties can be described by a