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Papers matching “sampling design” 24

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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
Predictions of the poses and affinity of a ligand over the entire surface of a NEET protein: the case of human mitoNEET
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Ke Zuo, Riccardo Capelli, Giulia Rossetti, Rachel Nechushtai, Paolo Carloni

1

citations
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler
2024 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López‐Ibáñez, +2 more

0

citations
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
2023 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang

1

citations
How to find expressible and trainable parameterized quantum circuits?
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Peter Röseler, Dennis Willsch, Kristel F. L. Michielsen

0

citations
Empirical Quantum Advantage in Constrained Optimization from Encoded Unitary Designs
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

0

citations
Robust, credible, and interpretable AI-based histopathological prostate cancer grading
2024 medRxiv preprint Computer Science AI in cancer detection Open access

Fabian Westhaeusser, Patrick Fuhlert, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, +20 more

1

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
Vision Also You Need: Navigating Out-of-Distribution Detection with Multimodal Large Language Model
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Haoran Xu, Yanlin Liu, Zizhao Tong, Jiaze Li, Kexue Fu, Yuyang Zhang, +5 more

0

citations
Auto deep learning for bioacoustic signals
2023 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Giulio Tosato, Joshua Luke Janssen, Kees Kamp, Pramatya Jati, Dan Stowell

0

citations
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection
2024 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Jinhua Liang, Inês Nolasco, Burooj Ghani, Huy Phan, Emmanouil Benetos, Dan Stowell

0

citations
Consistency of Extreme Learning Machines and Regression under Non-Stationarity and Dependence for ML-Enhanced Moving Objects
2020 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

Ansgar Steland

0

citations
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Marco Pleines, Matthias Pallasch, Fränk Zimmer, Mike Preuß

0

citations
Diffusion and Flow Matching Models for Tabular Data: A Survey
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Zhong Li, Qi Huang, Lincen Yang, Yang Zhao, Bas van Stein, Thomas Bäck, +1 more

0

citations
Integrated Multimodal Data Pipelines for Intelligent Security Monitoring in Smart Cities
2025 Preprints.org preprint Computer Science Video Surveillance and Tracking Methods Open access

Johannes Richter, Felix K. Wagner

0

citations
GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases
2023 medRxiv preprint Computer Science Face recognition and analysis Open access

Hellen Lesmann, Alexander Hustinx, Shahida Moosa, Hannah Klinkhammer, Elaine J. Marchi, Pilar Caro, +93 more

25

citations
Quantum Policy Gradient Algorithms
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Arjan Cornelissen, Māris Ozols, Vedran Dunjko

8

citations
Superpixel segmentations for thin sections: evaluation of methods to enable the generation of machine learning training data sets
2021 preprint Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

2

citations
Reinforced Efficient Reasoning via Semantically Diverse Exploration
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, +6 more

0

citations
When is randomization advantageous in quantum simulation?
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Francesco Paganelli, Michele Grossi, Andrea Giachero, T. E. O'Brien, Oriel Kiss

0

citations
Multi-Objective Learning for Deformable Image Registration
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Monika Grewal, Henrike G. Westerveld, Peter A. N. Bosman, Tanja Alderliesten

0

citations
ReG-SAM: Reference Graph-Driven SAM for 2D Foundational Vessel Segmentation
2026 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Donghang Lyu, Zichen Zhang, Oleh Dzyubachyk, Marius Staring

0

citations
Modular fault-tolerant quantum computing on a non-CSS code
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Robert Freund, Friederike Butt, César Benito, Ivan Pogorelov, Marcel Meyer, Alex Steiner, +3 more

0

citations
Reinforced Efficient Reasoning via Semantically Diverse Exploration
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, +6 more

0

citations

24 results