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Papers matching “computational performance optimization” 306

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Transient Chaotic Dimensionality Expansion by Recurrent Networks
2021 Physical Review X article Computer Science Neural Networks and Reservoir Computing Open access

Christian Keup, Tobias Kühn, David Dahmen, Moritz Helias

27

citations
Data-driven decoding of quantum error correcting codes using graph neural networks
2025 Physical Review Research article Computer Science Quantum Computing Algorithms and Architecture Open access

Moritz Lange, Pontus Havström, Basudha Srivastava, Isak Bengtsson, Valdemar Bergentall, Karl Hammar, +3 more

24

citations
Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case
2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Neural Network Applications Open access

Florian Rehm, Sofia Vallecorsa, Vikram A. Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, +2 more

12

citations
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
2021 International Conference on Pattern Recognition Applications and Methods conference-paper Computer Science Advanced Neural Network Applications Open access cited by 2 patents

9

citations
Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging
2025 Journal of Synchrotron Radiation article Computer Science Image and Signal Denoising Methods Open access

Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

4

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

3

citations
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

2

citations
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

1

citations
Quantum Error Correction with Quantum Autoencoders
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

David F. Locher, Markus Müller

1

citations
Model Editing for New Document Integration in Generative Information Retrieval
2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Zhen Zhang (86004), Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, +3 more

0

citations
Model Editing for New Document Integration in Generative Information Retrieval
2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Zhen Zhang (86004), Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, +3 more

0

citations
Fast Vector Search via Two-Step Binary Prefiltering and SIMD-Accelerated Rescoring
2026 ACM Transactions on Embedded Computing Systems article Computer Science Advanced Image and Video Retrieval Techniques Open access

Thorben Simon, Yun-Chih Chen, Jian-Jia Chen

0

citations
Quantum Technologies and Edge Devices in Electrical Grids: Opportunities, Challenges, and Future Directions
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Marjorie Hoegen, René Glebke, M. Sahnawaz Alam, Alessandro David, Juan Navarro Arenas, Nikolaus Wirtz, +8 more

0

citations
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Satisficing and Optimal Generalised Planning via Goal Regression
2026 Underline Science Inc. other Computer Science AI-based Problem Solving and Planning Open access

Association for Artificial Intelligence 2026, Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith

0

citations
Robustness of quantum reinforcement learning under hardware errors
2023 EPJ Quantum Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Andrea Skolik, Stefano Mangini, Thomas Bäck, Chiara Macchiavello, Vedran Dunjko

29

citations
Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation
2024 Sensors article Computer Science Music and Audio Processing Open access

Drew Priebe, Burooj Ghani, Dan Stowell

12

citations
Semi-supervised time series classification method for quantum computing
2021 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access

Florian Neukart

10

citations
Capacity of the covariance perceptron
2020 Journal of Physics A Mathematical and Theoretical article Computer Science Neural Networks and Applications Open access

7

citations
Capacity of the covariance perceptron
2020 RWTH Publications (RWTH Aachen) article Computer Science Neural Networks and Applications Open access

David Dahmen, Matthieu Gilson, Moritz Helias

6

citations
Real-time segmentation for tomographic imaging
2020 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Computer Science Medical Image Segmentation Techniques Open access

Richard Schoonhoven, Jan‐Willem Buurlage, Daniël M. Pelt, Kees Joost Batenburg

2

citations
On the Group Coverage Centrality Problem: Parameterized Complexity and Heuristics
2023 Society for Industrial and Applied Mathematics eBooks conference-paper Computer Science Advanced Graph Theory Research

Christian Komusiewicz, Jannis Schramek, Frank O. Sommer

1

citations
Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex
2024 SIAM Journal on Matrix Analysis and Applications article Computer Science Matrix Theory and Algorithms

Anton Savostianov, Francesco Tudisco, Nicola Guglielmi

0

citations
Multiqubit gate based on parity cross resonance
2026 RWTH Publications (RWTH Aachen) article Computer Science Quantum Information and Cryptography Open access

Xuexin Xu, Siyu Wang, Raunak Joshi, Rihan Hai, Mohammad H. Ansari

0

citations