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20182022
most citedChecklist Models for Improved Output Fluency in Piano Fingering Prediction

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

cs.LG20221 cited

Checklist Models for Improved Output Fluency in Piano Fingering Prediction

Nikita Srivatsan, Taylor Berg-Kirkpatrick

In this work we present a new approach for the task of predicting fingerings for piano music. While prior neural approaches have often treated this as a sequence tagging problem wi…

cs.CV2021

Scalable Font Reconstruction with Dual Latent Manifolds

Nikita Srivatsan, Si Wu, Jonathan T. Barron +1

We propose a deep generative model that performs typography analysis and font reconstruction by learning disentangled manifolds of both font style and character shape. Our approach…

cs.CV2021

Neural Representation Learning for Scribal Hands of Linear B

Nikita Srivatsan, Jason Vega, Christina Skelton +1

In this work, we present an investigation into the use of neural feature extraction in performing scribal hand analysis of the Linear B writing system. While prior work has demonst…

cs.LG2019

A Deep Factorization of Style and Structure in Fonts

Nikita Srivatsan, Jonathan T. Barron, Dan Klein +1

We propose a deep factorization model for typographic analysis that disentangles content from style. Specifically, a variational inference procedure factors each training glyph int…

cs.LG2018

Modeling Online Discourse with Coupled Distributed Topics

Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick

In this paper, we propose a deep, globally normalized topic model that incorporates structural relationships connecting documents in socially generated corpora, such as online foru…