Margin Sample acquisition function (MLP surrogate)
Bayesian optimisation acquisition function over a multi-layer perceptron surrogate, as implemented by the GeneDisco benchmark.
No reviewed evaluations are linked here in this release. See the sources and separately identified configurations below.
Overview
Bayesian optimisation acquisition function over a multi-layer perceptron surrogate, as implemented by the GeneDisco benchmark.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
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Source checking is not independent reproduction. Release 2026-10-10-7fcc3e48a123.
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Evidence
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Evidence table
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Sources and history
Release 2026-10-10-7fcc3e48a123 · Record review: source checked
1 source records and release history
- BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments · Original source · arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025
Technical metadata and extraction receipts
Stable ID: tgtval-20261009-method-margin-sample
- areas
- cells-tissues
- contexts
- research
- method types
- supervised_machine_learning
- reported name
- Margin Sample acquisition function (MLP surrogate)
- entity level
- method
- source locator
- Roohani et al. 2025 section 4.1 (baselines)
- missing metadata
- version: reason: inapplicable; note: Family record; settings are on configurations