◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

H. Wayment-Steele

5 papers hereh-index 151.5k citations35 works total

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

author position
  • first author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.ML3
  • cond-mat.soft1
  • physics.chem-ph1

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedVariational Encoding of Complex Dynamics

187 citations · 210 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

physics.chem-ph2018★ 8 cited

Note: Variational Encoding of Protein Dynamics Benefits from Maximizing Latent Autocorrelation

Hannah K. Wayment-Steele, Vijay S. Pande

As deep Variational Auto-Encoder (VAE) frameworks become more widely used for modeling biomolecular simulation data, we emphasize the capability of the VAE architecture to concurre…

stat.ML2018

Transferable neural networks for enhanced sampling of protein dynamics

Mohammad M. Sultan, Hannah K. Wayment-Steele, Vijay S. Pande

Variational auto-encoder frameworks have demonstrated success in reducing complex nonlinear dynamics in molecular simulation to a single non-linear embedding. In this work, we illu…

◍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.