TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Qi, Kitharidis, Sofoklis, Bäck, Thomas, van Stein, Niki |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
by: van Stein, Niki, et al.
Published: (2024)
by: van Stein, Niki, et al.
Published: (2024)
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
by: van Stein, Niki, et al.
Published: (2024)
by: van Stein, Niki, et al.
Published: (2024)
Mechanistic Interpretability for Transformer-based Time Series Classification
by: Kalnāre, Matīss, et al.
Published: (2025)
by: Kalnāre, Matīss, et al.
Published: (2025)
Explainable Benchmarking for Iterative Optimization Heuristics
by: van Stein, Niki, et al.
Published: (2024)
by: van Stein, Niki, et al.
Published: (2024)
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
by: Refoyo, Mario, et al.
Published: (2024)
by: Refoyo, Mario, et al.
Published: (2024)
From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
by: van Stein, Niki, et al.
Published: (2025)
by: van Stein, Niki, et al.
Published: (2025)
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
by: van Stein, Niki, et al.
Published: (2025)
by: van Stein, Niki, et al.
Published: (2025)
LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
by: Skvorc, Urban, et al.
Published: (2026)
by: Skvorc, Urban, et al.
Published: (2026)
Automated Algorithm Design for Auto-Tuning Optimizers
by: Willemsen, Floris-Jan, et al.
Published: (2025)
by: Willemsen, Floris-Jan, et al.
Published: (2025)
Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery
by: van Stein, Niki, et al.
Published: (2025)
by: van Stein, Niki, et al.
Published: (2025)
Counterfactual Explanations for Clustering Models
by: Spagnol, Aurora, et al.
Published: (2024)
by: Spagnol, Aurora, et al.
Published: (2024)
Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024)
by: Xue, Ke, et al.
Published: (2024)
A Functional Analysis Approach to Symbolic Regression
by: Antonov, Kirill, et al.
Published: (2024)
by: Antonov, Kirill, et al.
Published: (2024)
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
by: van Stein, Niki, et al.
Published: (2026)
by: van Stein, Niki, et al.
Published: (2026)
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
by: van Stein, Niki, et al.
Published: (2025)
by: van Stein, Niki, et al.
Published: (2025)
LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
by: Li, Wenhu, et al.
Published: (2025)
by: Li, Wenhu, et al.
Published: (2025)
From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
by: Huang, Qi, et al.
Published: (2026)
by: Huang, Qi, et al.
Published: (2026)
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
by: van Stein, Niki, et al.
Published: (2024)
by: van Stein, Niki, et al.
Published: (2024)
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
by: Long, Fu Xing, et al.
Published: (2024)
by: Long, Fu Xing, et al.
Published: (2024)
Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
by: Da Ros, Francesca, et al.
Published: (2026)
by: Da Ros, Francesca, et al.
Published: (2026)
GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
by: Li, Xingyu
Published: (2026)
by: Li, Xingyu
Published: (2026)
Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking
by: Ye, Furong, et al.
Published: (2026)
by: Ye, Furong, et al.
Published: (2026)
MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
by: Büssing, Jan, et al.
Published: (2026)
by: Büssing, Jan, et al.
Published: (2026)
Multi-Objective Quality-Diversity for Crystal Structure Prediction
by: Janmohamed, Hannah, et al.
Published: (2024)
by: Janmohamed, Hannah, et al.
Published: (2024)
Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery
by: Yin, Haoran, et al.
Published: (2025)
by: Yin, Haoran, et al.
Published: (2025)
Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization
by: Qi, Biqing, et al.
Published: (2024)
by: Qi, Biqing, et al.
Published: (2024)
Quality-Diversity Optimization as Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2026)
by: Lin, Xi, et al.
Published: (2026)
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
by: Barreda, Jesus, et al.
Published: (2024)
by: Barreda, Jesus, et al.
Published: (2024)
Multi-Objective Genetic Algorithm for Multi-View Feature Selection
by: Imani, Vandad, et al.
Published: (2023)
by: Imani, Vandad, et al.
Published: (2023)
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
by: Zhan, Tianxiang, et al.
Published: (2024)
by: Zhan, Tianxiang, et al.
Published: (2024)
EvoCAD: Evolutionary CAD Code Generation with Vision Language Models
by: Preintner, Tobias, et al.
Published: (2025)
by: Preintner, Tobias, et al.
Published: (2025)
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)
by: Lin, Xi, et al.
Published: (2024)
Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces
by: Janmohamed, Hannah, et al.
Published: (2025)
by: Janmohamed, Hannah, et al.
Published: (2025)
Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems
by: Zhou, Ryan, et al.
Published: (2024)
by: Zhou, Ryan, et al.
Published: (2024)
An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition
by: Farias, Lucas R. C., et al.
Published: (2024)
by: Farias, Lucas R. C., et al.
Published: (2024)
Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance
by: Nikolikj, Ana, et al.
Published: (2025)
by: Nikolikj, Ana, et al.
Published: (2025)
Task and Explanation Network
by: Sipper, Moshe
Published: (2024)
by: Sipper, Moshe
Published: (2024)
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
by: Yin, Haoran, et al.
Published: (2024)
by: Yin, Haoran, et al.
Published: (2024)
Multi-Task Optimization over Networks of Tasks
by: Hatzky, Julian, et al.
Published: (2026)
by: Hatzky, Julian, et al.
Published: (2026)
Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization
by: Lallouet, Noé, et al.
Published: (2025)
by: Lallouet, Noé, et al.
Published: (2025)
Similar Items
-
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
by: van Stein, Niki, et al.
Published: (2024) -
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
by: van Stein, Niki, et al.
Published: (2024) -
Mechanistic Interpretability for Transformer-based Time Series Classification
by: Kalnāre, Matīss, et al.
Published: (2025) -
Explainable Benchmarking for Iterative Optimization Heuristics
by: van Stein, Niki, et al.
Published: (2024) -
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
by: Refoyo, Mario, et al.
Published: (2024)