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researcher

Matthew Botvinick

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • q-bio.NC1
ORCID 0000-0001-7758-6896

identity via Semantic Scholar / OpenAlex

most citedMONet: Unsupervised Scene Decomposition and Representation

193 citations · 268 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.NC2019

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette

Adam Santoro, Felix Hill, David Barrett +3

Brette contends that the neural coding metaphor is an invalid basis for theories of what the brain does. Here, we argue that it is an insufficient guide for building an artificial…

cs.LG2019★ 75 cited

Causal Reasoning from Meta-reinforcement Learning

Ishita Dasgupta, Jane Wang, Silvia Chiappa +7

Discovering and exploiting the causal structure in the environment is a crucial challenge for intelligent agents. Here we explore whether causal reasoning can emerge via meta-reinf…

cs.CV2019★ 193 cited

MONet: Unsupervised Scene Decomposition and Representation

Christopher P. Burgess, Loic Matthey, Nicholas Watters +4

The ability to decompose scenes in terms of abstract building blocks is crucial for general intelligence. Where those basic building blocks share meaningful properties, interaction…

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