Research map / Probabilistic and scientific modeling / Molecules and proteins
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
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.
Closest papers by meaning
- DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection (NeurIPS 2024 · similarity 0.89)
- Error-Based Knockoffs Inference for Controlled Feature Selection (AAAI 2022 · similarity 0.88)
- Deep Direct Likelihood Knockoffs (NeurIPS 2020 · similarity 0.86)
- Fusing Conditional Submodular GAN and Programmatic Weak Supervision (AAAI 2024 · similarity 0.82)
- MCGAN: Enhancing GAN Training with Regression-Based Generator Loss (AAAI 2025 · similarity 0.82)
- Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator (ICML 2025 · similarity 0.82)
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.
