Sample-efficient Multi-objective Molecular Optimization with GFlowNets

Feb-18-2026, 02:41:39 GMT–Neural Information Processing Systems

In practice, multiple conflicting objectives and costly evaluations (e.g., wet-lab experiments) make the diversity of candidates

artificial intelligence, machine learning, optimization, (17 more...)

Neural Information Processing Systems

Feb-18-2026, 02:41:39 GMT

Conferences PDF

Country:
- Asia > China (0.04)
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.04)
- South America > Chile
  - Santiago Metropolitan Region > Santiago Province > Santiago (0.04)

Industry:
- Health & Medicine > Pharmaceuticals & Biotechnology (0.46)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Neural Networks > Deep Learning (0.68)
    - Statistical Learning (0.68)
  - Representation & Reasoning > Optimization (1.00)

Duplicate Docs Excel Report

Title
Sample-efficient Multi-objective Molecular Optimization with GFlowNets

Similar Docs Excel Report more

Title	Similarity	Source
None found