atlas

Research map / Probabilistic and scientific modeling / Molecules and proteins

Learning a Generative Model for Validity in Complex Discrete Structures

ICLR 2018 · Probabilistic and scientific modeling › Molecules and proteins · approach: Neuro-symbolic probabilistic layers · 11 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use mutual-information-based active sequence selection instead of uniform passive samplingPython expression validity model · Python 3 expressions at temperature 0.100N: $9.7\times 10^{27}$ -> $8.2\times 10^{28}$Helped
Use mutual-information-based active sequence selection instead of uniform passive samplingPython expression validity model · Python 3 expressions at temperature 0.025N: $2.9\times 10^{25}$ -> $4.3\times 10^{27}$Helped
Use mutual-information-based active sequence selection instead of uniform passive samplingPython expression validity model · Python 3 expressions at temperature 0.005N: $1.1\times 10^{22}$ -> $1.3\times 10^{27}$Helped
Use mutual-information-based active sequence selection instead of uniform passive samplingPython expression validity model · Python 3 expressions at temperature 0.100validity: 0.850 -> 0.841Hurt
Use mutual-information-based active sequence selection instead of uniform passive samplingPython expression validity model · Python 3 expressions at temperature 0.025validity: 0.969 -> 0.995Helped
Use mutual-information-based active sequence selection instead of uniform passive samplingPython expression validity model · Python 3 expressions at temperature 0.005validity: 1.000 -> 1.000No clear effect
Add a post-hoc validity model that masks invalid decoder choicesPlain CVAE · ZINCsample validity: 0.5% -> 22.3%Helped
Add a post-hoc validity model that masks invalid decoder choicesPlain CVAE · ZINCreconstruction accuracy: 49.7% -> 50.2%Helped
Use the post-hoc validity model rather than the Grammar VAE approachMolecule VAE · ZINCsample validity: 7.2% -> 22.3%Helped
Use the post-hoc validity model rather than the Grammar VAE approachMolecule VAE · ZINCreconstruction accuracy: 53.7% -> 50.2%Hurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy