ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.07709
  4. Cited By
Diagnosing and fixing common problems in Bayesian optimization for
  molecule design

Diagnosing and fixing common problems in Bayesian optimization for molecule design

11 June 2024
Austin Tripp
José Miguel Hernández-Lobato
ArXivPDFHTML

Papers citing "Diagnosing and fixing common problems in Bayesian optimization for molecule design"

2 / 2 papers shown
Title
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring
  the Chemical Space
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam
Pascal Friederich
Mario Krenn
Alán Aspuru-Guzik
AI4CE
35
131
0
25 Sep 2019
Molecular De Novo Design through Deep Reinforcement Learning
Molecular De Novo Design through Deep Reinforcement Learning
Marcus Olivecrona
T. Blaschke
Ola Engkvist
Hongming Chen
BDL
92
1,003
0
25 Apr 2017
1