1 citations · 1 across the 3 of their papers we have counts for
4 papers
Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience
Johannes Bertram, Luciano Dyballa, T. Anderson Keller +2
Decoding approaches are widely used in neuroscience and machine learning to compare stimulus representations across neural systems, such as different brain regions, organisms, and…
Origins of Creativity in Attention-Based Diffusion Models
Emma Finn, T. Anderson Keller, Manos Theodosis +1
As diffusion models have become the tool of choice for image generation and as the quality of the images continues to improve, the question of how `creativity' originates in diffus…
Learning Artistic Signatures: Symmetry Discovery and Style Transfer
Emma Finn, T. Anderson Keller, Emmanouil Theodosis +1
Despite nearly a decade of literature on style transfer, there is no undisputed definition of artistic style. State-of-the-art models produce impressive results but are difficult t…
Deep Generative Models of Music Expectation
Ninon Lizé Masclef, T. Anderson Keller
A prominent theory of affective response to music revolves around the concepts of surprisal and expectation. In prior work, this idea has been operationalized in the form of probab…