ml-jku / DIffUCOLinks
☆61Updated 2 months ago
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
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆23Updated 9 months ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Updated last year
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆28Updated 5 months ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆63Updated last year
- Official repository for GFACS☆33Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆40Updated 8 months ago
- This repository contains code for the paper "Learning Decision Trees as Amortized Structure Inference"☆15Updated 8 months ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Code for [ICML2025]``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.☆66Updated 6 months ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆40Updated last year
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆17Updated 3 years ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆24Updated 6 months ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆83Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Updated 2 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆68Updated 5 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆94Updated 3 years ago
- ☆14Updated 3 years ago
- Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization☆20Updated last week
- ☆35Updated 8 months ago
- ☆45Updated 7 months ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆231Updated last year
- [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"☆20Updated last year
- Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization☆31Updated 4 months ago
- [ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models☆88Updated 4 months ago
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆21Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆31Updated last year
- A collection of Matplotlib plot templates.☆23Updated 2 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆38Updated 2 years ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆21Updated last year