ml-jku / DIffUCOLinks
☆60Updated last month
Alternatives and similar repositories for DIffUCO
Users that are interested in DIffUCO are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆67Updated 2 years ago
- Code for [ICML2025]``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.☆64Updated 5 months ago
- Official repository for GFACS☆33Updated last year
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆23Updated 8 months ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Updated last year
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆17Updated 3 years ago
- ☆66Updated 7 months ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆27Updated 4 months ago
- ☆44Updated 6 months ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆62Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆40Updated 7 months ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆227Updated last year
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆68Updated 4 months ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆82Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆41Updated last year
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆37Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆22Updated last year
- This repository contains code for the paper "Learning Decision Trees as Amortized Structure Inference"☆15Updated 7 months ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆21Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆31Updated last year
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆13Updated last year
- [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"☆20Updated 11 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆93Updated 3 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆83Updated last year
- ☆27Updated 2 years ago
- [ICLR 2025] Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling☆13Updated last month
- [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization☆32Updated 2 weeks ago
- ☆15Updated 2 years ago