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Papers matching “state space search” 54

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Satisficing and Optimal Generalised Planning via Goal Regression (Extended Version)
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith

0

citations
Efficient Hamiltonian-aware quantum natural gradient descent for variational quantum eigensolvers
2026 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access

1

citations
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
2024 conference-paper Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann, Hector Geffner

1

citations
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn

0

citations
Guided quantum walk
2024 Physical Review Research article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 1 patent

Sebastian Schulz, Dennis Willsch, Kristel F. L. Michielsen

14

citations
Combining sequential model-based algorithm configuration with default-guided probabilistic sampling
2020 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Metaheuristic Optimization Algorithms Research

Marie Anastacio, Holger H. Hoos

2

citations
Beyond-mean-field fluctuations for the solution of constraint satisfaction problems
2025 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Niklas Foos, Bastian Epping, Jannik Grundler, Alexandru Ciobanu, Tim Bode, Moritz Helias, +1 more

1

citations
A methodology for comparing optimization algorithms for auto-tuning
2024 Future Generation Computer Systems article Computer Science Parallel Computing and Optimization Techniques Open access

Floris-Jan Willemsen, Richard Schoonhoven, Jiří Filipovič, Jacob O. Tørring, Rob V. van Nieuwpoort, Ben van Werkhoven

11

citations
AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images
2024 Remote Sensing article Computer Science Advanced Image Processing Techniques Open access

Julia Wąsala, Suzanne Mariëlle Marselis, Laurens Arp, Holger H. Hoos, Nicolas Longépé, Mitra Baratchi

5

citations
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images
2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection Open access

Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose

0

citations
AutoMergeNet: AutoML-Based M-Source Satellite Data Fusion Evaluated With Atmospheric Case Studies
2025 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing article Computer Science Remote-Sensing Image Classification Open access

Julia Wąsala, Joannes D. Maasakkers, Berend J. Schuit, Gijs Leguijt, Ilse Aben, Rochelle Schneider, +2 more

3

citations
AIrchitect: Automating Hardware Architecture and Mapping Optimization
2023 Design, Automation, and Test in Europe conference-paper Computer Science Embedded Systems Design Techniques

Ananda Samajdar, Jan Moritz Joseph, Tushar Krishna

0

citations
Discriminative feature modeling for statistical speech recognition
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Speech Recognition and Synthesis Open access

Zoltán Tüske

1

citations
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
2022 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 1 patent

Andrea Skolik, Sofiène Jerbi, Vedran Dunjko

193

citations
Quantum walk in a reinforced free-energy landscape: Quantum annealing with reinforcement
2022 Physical Review A article Computer Science Quantum Computing Algorithms and Architecture Open access

Abolfazl Ramezanpour

3

citations
Unsupervised discretization by two-dimensional MDL-based histogram
2023 Machine Learning article Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen

4

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
Closing the Teacher-Learner Loop: The Role of Affective Signals in Interactive RL
2024 International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) conference-paper Computer Science Reinforcement Learning in Robotics

Bernhard Hilpert

1

citations
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
2024 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Christopher Brix, Grani A. Hanasusanto, Huan Zhang

3

citations
Constraint-aware Optimization in Auto-Tuning
2026 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Floris-Jan Willemsen, Stijn Heldens, Rob V. van Nieuwpoort, Ben van Werkhoven

0

citations
Cylindrical algebraic decomposition based methods in satisfiability modulo non-linear real arithmetic
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Polynomial and algebraic computation Open access

Jasper Nalbach

0

citations
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
2024 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access cited by 1 patent

Bas van Stein, Thomas Bäck

183

citations
Efficient Sparse Large-Scale Multiobjective Optimization Based on Cross-Scale Knowledge Fusion
2024 IEEE Transactions on Systems Man and Cybernetics Systems article Computer Science Advanced Multi-Objective Optimization Algorithms

Zhuanlian Ding, Lei Chen, Dengdi Sun, Xingyi Zhang, Wei Liu

24

citations
Deep BIAS: Detecting Structural Bias using Explainable AI
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova

13

citations
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
2026 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck

2

citations