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Papers matching “heuristic methods” 52

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Heuristic and exact modularity optimization with size-constrained communities
2026 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Filipi N. Silva, Samin Aref, Vincent Traag, Santo Fortunato

0

citations
The Hitchhiker’s Guide to Longitudinal Models: A Primer on Model Selection for Repeated-Measures Methods
2021 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ethan Michael McCormick, Michelle L. Byrne, John Coleman Flournoy, Kathryn L. Mills, Jennifer H. Pfeifer

10

citations
Rigorous methods for computational number theory
2025 arXiv (Cornell University) preprint Computer Science Cryptography and Residue Arithmetic Open access

Alice Pellet-Mary, Benjamin Wesolowski

0

citations
Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

0

citations
SLOPE: Search with Learned Optimal Pruning-based Expansion
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Davor Bokan, Zlatan Ajanović, Bakir Lačević

0

citations
Truly Unordered Probabilistic Rule Sets for Multi-class Classification
2022 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Lincen Yang, Matthijs van Leeuwen

0

citations
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
2025 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Martin Grohe

0

citations
Explainable Benchmarking for Iterative Optimization Heuristics
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck

2

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
2023 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Chendi Qian, Didier Chételat, Christopher Morris

2

citations
Learning Explainable and Better Performing Representations of POMDP Strategies
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Křetínský, Stefanie Mohr

2

citations
Provable Diffusion Posterior Sampling for Bayesian Inversion
2025 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

0

citations
Diffusion Based Unpaired Data Learning for Inverse Problems
2026 arXiv (Cornell University) preprint Computer Science Image and Signal Denoising Methods Open access

Chenglong Bao, Yiming Dang, Chenguang Duan, Yuling Jiao, Defeng Sun

0

citations
Elimination Techniques for Algorithmic Differentiation Revisited
2023 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

Uwe Naumann, Erik Schneidereit, Simon Maertens, Markus Towara

0

citations
Compilation of product-formula Hamiltonian simulation via reinforcement learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Lea M. Trenkwalder, Eleanor Scerri, Thomas E. O’Brien, Vedran Dunjko

1

citations
Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value
2020 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Michael Emmerich, Joost Nibbeling, Marios Kefalas, Aske Plaat

2

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2022 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

1

citations
Prospective consequential Life Cycle Assessment:Identifying the future marginal suppliers using Integrated Assessment Models
2023 ChemRxiv preprint Environmental Science Environmental Impact and Sustainability Open access

Ben Maes, Romain Sacchi, Bernhard R.P. Steubing, Massimo Pizzol, Amaryllis Audenaert, Bart Craeye, +1 more

5

citations
Robust Design of Multi-Energy Systems Accounting for Mixed-Integer Operational Problems
2026 arXiv (Cornell University) preprint Engineering Integrated Energy Systems Optimization Open access

Moritz Wedemeyer, Alexander Mitsos, Manuel Dahmen

0

citations
Probabilistic Truly Unordered Rule Sets
2024 arXiv (Cornell University) preprint Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Matthijs van Leeuwen

0

citations
Challenges and Opportunities in Quantum Optimization
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Amira Abbas, Andris Ambainis, Brandon Augustino, Andreas Bärtschi, Harry Buhrman, Carleton Coffrin, +40 more

8

citations
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yangjie Mei, Hao Wang

0

citations
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich

1

citations
Unsupervised Discretization by Two-dimensional MDL-based Histogram
2020 arXiv (Cornell University) preprint Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen

2

citations
Optimization of Unmanned Aerial Vehicle Augmented Ultra-Dense Networks
2020 Research Square preprint Engineering UAV Applications and Optimization Open access

Alireza Zamani, Robert Kämmer, Yulin Hu, Anke Schmeink

1

citations