Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions

Aleksandr Kolomeitsev, Anh Huy Phan
2/14/2026

No confident code implementation found for this paper. 4 possible matches can be shown below.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 4 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders

100% match1 repo62026

Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior

100% match1 repo92026

Towards Open-Ended Visual Recognition with Large Language Models

100% match2026

Worst-Case Offline Reinforcement Learning with Arbitrary Data Support

100% match2026

Multi-Agent Learning with Heterogeneous Linear Contextual Bandits

99% match2026

Trusted Multi-View Classification with Expert Knowledge Constraints

99% match2026

Cite this paper

@article{kolomeitsev2026featuremapping,
  title  = {Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions},
  author = {Aleksandr Kolomeitsev and Anh Huy Phan},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:2a98406626b086c6bcbdda7d28109176c13911dd},
  journal = {ICML 2025 2025}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2a98406626b086c6bcbdda7d28109176c13911dd.svg)](https://codeofpaper.com/paper/2a98406626b086c6bcbdda7d28109176c13911dd)

Discussion