◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jonathan M. Bloom

3 papers here

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

author position
  • sole author1
  • middle author2

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

fields
  • cs.LG2
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedLoss Landscapes of Regularized Linear Autoencoders

21 citations · 25 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.NC2020

Two Routes to Scalable Credit Assignment without Weight Symmetry

Daniel Kunin, Aran Nayebi, Javier Sagastuy-Brena +3

The neural plausibility of backpropagation has long been disputed, primarily for its use of non-local weight transport − the biologically dubious requirement that one neuron inst…

cs.LG2019★ 4 cited

Secure multi-party linear regression at plaintext speed

Jonathan M. Bloom

We detail distributed algorithms for scalable, secure multiparty linear regression and feature selection at essentially the same speed as plaintext regression. While the core geome…

cs.LG2019★ 21 cited

Loss Landscapes of Regularized Linear Autoencoders

Daniel Kunin, Jonathan M. Bloom, Aleksandrina Goeva +1

Autoencoders are a deep learning model for representation learning. When trained to minimize the distance between the data and its reconstruction, linear autoencoders (LAEs) learn…

◍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.