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researcher

Matthew T. Kaufman

2 papers hereh-index 299.2k citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedDeep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time

5 citations · 5 across the 1 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2021★ 5 cited

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time

Feng Zhu, Andrew R. Sedler, Harrison A. Grier +5

Modern neural interfaces allow access to the activity of up to a million neurons within brain circuits. However, bandwidth limits often create a trade-off between greater spatial s…

cs.LG2021

Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity

Felix Pei, Joel Ye, David Zoltowski +13

Advances in neural recording present increasing opportunities to study neural activity in unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.