hhyqhh / KAN-EALinks
☆19Updated last year
Alternatives and similar repositories for KAN-EA
Users that are interested in KAN-EA are comparing it to the libraries listed below
Sorting:
- Kolmogorov-Arnold Networks in MATLAB☆47Updated 4 months ago
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"☆22Updated 2 years ago
- [NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation☆18Updated 3 years ago
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆27Updated last month
- ☆15Updated 2 years ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆100Updated 2 months ago
- A regression-alike loss to improve numerical reasoning in language models☆17Updated 3 weeks ago
- ☆13Updated 2 years ago
- A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.☆68Updated 3 months ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated last year
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 2 years ago
- code associated with paper "Sparse Bayesian Optimization"☆26Updated last year
- Semi-supervised learning with Generative Adversarial Networks (GANs) using Kolmogorov-Arnold Network Layers (KANLs)☆17Updated 10 months ago
- FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks☆14Updated 2 years ago
- ☆14Updated 2 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated last year
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆40Updated 2 years ago
- ☆11Updated last year
- Dynamic causal Bayesian optimisation☆38Updated 2 years ago
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆35Updated last year
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆33Updated last year
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆29Updated last year
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆72Updated 6 months ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆15Updated last year
- Source code for the IJCNN2024 paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"☆15Updated last month
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated this week
- NAS + Cascades | Best Paper @ GECCO 2022☆16Updated last year
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago