ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.00526
  4. Cited By
Multi-Objective Latent Space Optimization of Generative Molecular Design
  Models
v1v2 (latest)

Multi-Objective Latent Space Optimization of Generative Molecular Design Models

Patterns (Patterns), 2022
1 March 2022
Nafiz Abeer
Nathan M. Urban
Ryan Weil
Francis J. Alexander
Byung-Jun Yoon
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Multi-Objective Latent Space Optimization of Generative Molecular Design Models"

8 / 8 papers shown
FragmentGPT: A Unified GPT Model for Fragment Growing, Linking, and Merging in Molecular Design
FragmentGPT: A Unified GPT Model for Fragment Growing, Linking, and Merging in Molecular Design
Xuefeng Liu
Songhao Jiang
Qinan Huang
Tinson Xu
Ian Foster
Mengdi Wang
Hening Lin
Jinbo Xu
186
1
0
14 Sep 2025
ExLLM: Experience-Enhanced LLM Optimization for Molecular Design and Beyond
ExLLM: Experience-Enhanced LLM Optimization for Molecular Design and Beyond
Nian Ran
Yue Wang
Xiaoyuan Zhang
Zhongzheng Li
Qingsong Ran
Wenhao Li
Richard Allmendinger
639
2
0
18 Feb 2025
Pathway-Guided Optimization of Deep Generative Molecular Design Models
  for Cancer Therapy
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy
Alif Bin Abdul Qayyum
S. Mertins
Amanda K. Paulson
Nathan M. Urban
Byung-Jun Yoon
285
0
0
05 Nov 2024
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning
  of Variational Autoencoders
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders
Nafiz Abeer
Sanket Jantre
Nathan M. Urban
Byung-Jun Yoon
347
3
0
31 May 2024
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in
  Deep Generative Models for Molecular Design
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design
A. N. M. N. Abeer
Sanket Jantre
Nathan M. Urban
Byung-Jun Yoon
273
2
0
30 Apr 2024
Advancing Bayesian Optimization via Learning Correlated Latent Space
Advancing Bayesian Optimization via Learning Correlated Latent SpaceNeural Information Processing Systems (NeurIPS), 2023
Seunghun Lee
Jaewon Chu
S. Kim
Juyeon Ko
Hyunwoo J. Kim
BDL
588
19
0
31 Oct 2023
ChemSpaceAL: An Efficient Active Learning Methodology Applied to
  Protein-Specific Molecular Generation
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular GenerationJournal of Chemical Information and Modeling (JCIM), 2023
Gregory W. Kyro
Anton Morgunov
Rafael I. Brent
Victor S. Batista
312
19
0
11 Sep 2023
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery
Computer-Aided Multi-Objective Optimization in Small Molecule DiscoveryPatterns (Patterns), 2022
Jenna C. Fromer
Connor W. Coley
261
109
0
13 Oct 2022
1
Page 1 of 1