◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Bohté

17 papers hereh-index 325.3k citations150 works total

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

author position
  • first author1
  • middle author8
  • last author8

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.NE6
  • cs.LG3
  • cs.RO3
  • q-bio.NC2
  • cs.CV1
  • math.NA1

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedVisual pathways from the perspective of cost functions and multi-task deep neural networks

29 citations · 65 across the 7 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.NE2018

A Biologically Plausible Learning Rule for Deep Learning in the Brain

Isabella Pozzi, Sander Bohté, Pieter Roelfsema

Researchers have proposed that deep learning, which is providing important progress in a wide range of high complexity tasks, might inspire new insights into learning in the brain.…

cs.LG2018

An image representation based convolutional network for DNA classification

Bojian Yin, Marleen Balvert, Davide Zambrano +2

The folding structure of the DNA molecule combined with helper molecules, also referred to as the chromatin, is highly relevant for the functional properties of DNA. The chromatin…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.