From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “sampling” 178

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

On Sampling-Based Training Criteria for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yingbo Gao, David Thulke, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney

0

citations
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jacob de Nobel, Diederick Vermetten, Thomas Bäck, Anna V. Kononova

0

citations
Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Ulysse Chabaud, Zoltán Kolarovszki, Bence Bakó, Zoltán Zimborás, Vedran Dunjko

0

citations
Search-based versus Sampling-based Robot Motion Planning: A Comparative Study
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Georgios Sotirchos, Zlatan Ajanović

0

citations
Improved Separation Between Quantum and Classical Computers for Sampling and Functional Tasks
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Simon C. Marshall, Scott Aaronson, Vedran Dunjko

0

citations
Latency-Aware Client Assignment for Parallel Split Learning With Global Sampling
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink

0

citations
Self-Normalized Importance Sampling for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Zijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney

0

citations
Decoder Dependence in Surface-Code Threshold Estimation with Native Gottesman-Kitaev-Preskill Digitization and Parallelized Sampling
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt, Sven Groppe

0

citations
Polynomial Time Quantum Gibbs Sampling for Fermi-Hubbard Model at any Temperature
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Štěpán Šmíd, Richard J. Meister, Mario Berta, Roberto Bondesan

0

citations
Decoder Dependence in Surface-Code Threshold Estimation with Native Gottesman-Kitaev-Preskill Digitization and Parallelized Sampling
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt, Sven Groppe

0

citations
Meta-Knowledge-Assisted Sampling with Variable Sorting for Large-Scale Multi-Objective Optimization
2024 SSRN Electronic Journal preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Li Chen, Xingxing Hao, Tingfeng Yu, Yongkang Qian, Wei Liu

0

citations
Meta-Knowledge-Assisted Sampling with Variable Sorting for Large-Scale Multi-Objective Optimization
2024 SSRN Electronic Journal preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Li Chen, Xingxing Hao, Tingfeng Yu, Yongkang Qian, Wei Liu

0

citations
Tabu-driven Quantum Neighborhood Samplers
2020 Leiden Repository (Leiden University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

3

citations
Random Abstract Cell Complexes
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Josef Hoppe, Michael T. Schaub

0

citations
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
Quantum Boltzmann Machines: Applications in Quantitative Finance
2023 RePEc: Research Papers in Economics preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Cameron Perot

0

citations
Efficiently Escaping Saddle Points for Policy Optimization
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser

0

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
Random Projections for Multi-Copy Quantum Algorithms
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Xiaoyu Liu, Jordi Tura, Johannes Knörzer

0

citations
Exact Inference for Continuous-Time Gaussian Process Dynamics
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe

0

citations
Multimap targeted free energy estimation
2023 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Andrea Rizzi, Paolo Carloni, Michele Parrinello

3

citations
Cometh: A continuous-time discrete-state graph diffusion model
2024 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Antoine Siraudin, Fragkiskos D. Malliaros

0

citations
Average Distance Approximation for Static Large Graphs
2026 arXiv (Cornell University) preprint Computer Science Graph Theory and Algorithms Open access

Kartikey Ahlawat

0

citations
Efficient Sparsification of Simplicial Complexes via Local Densities of States
2025 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Anton Savostianov, Michael T. Schaub, Nicola Guglielmi, Francesco Tudisco

0

citations
Selecting Interpretable Circular Coordinates from Data
2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Vincent P. Grande, Marina Meilă

0

citations