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Papers matching “neural network dynamics” 98

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Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference data
2021 Scientific Reports article Computer Science Image and Signal Denoising Methods Open access

Allard A. Hendriksen, Minna Bührer, Laura Leone, Marco Merlini, Nicola Viganò, Daniël M. Pelt, +3 more

51

citations
Stärken und Grenzen des Weisfeiler-Leman-Algorithmus
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Graph Theory Research Open access

Sandra Kiefer

7

citations
An HPC-Driven Data Science Platform to Speed-up Time Series Data Analysis of Patients with the Acute Respiratory Distress Syndrome
2021 conference-paper Computer Science Machine Learning in Healthcare

Chadi Barakat, Sebastian Johannes Fritsch, Morris Riedel, Sigurður Brynjólfsson

7

citations
CADET-Core: Version 6.0.0-alpha.4
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Modeling and Simulation Systems Open access

Jan Michael Breuer, Samuel Leweke, Johannes Schmölder, Antonia Berger, Hannah Lanzrath, Wendi Zhang, +1 more

0

citations
ImageGrains 2.0: Improved precision and generalization for grain segmentation
2026 Earth Surface Dynamics article Computer Science Advanced Neural Network Applications Open access

David Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +9 more

0

citations
Adaptive coupling between neurons widens the entrainment range of the suprachiasmatic nucleus
2024 Physical review. E article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Wenxin Zheng, Changgui Gu, Huijie Yang, Jos H. T. Rohling

4

citations
GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Jette Oberländer, Jan Finkbeiner, Catherine Mia Schöfmann, Emre Neftci

0

citations
Improvement of Collision Avoidance Systems in Rural Rail Traffic with Synthetic Data
2025 IEEE International Automated Vehicle Validation Conference (IAVVC) conference-paper Computer Science Advanced Neural Network Applications

Friedrich Betz, Julian Eichenbaum, Yannick Otten, Simon Klamt, Raphael Pfaff, Ingrid Scholl

0

citations
D 2 Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) conference-paper Computer Science Advanced Neural Network Applications

Ali Athar, Sabarinath Mahadevan, Bastian Leibe

27

citations
Mask4Former: Mask Transformer for 4D Panoptic Segmentation
2024 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Advanced Neural Network Applications

Jonas Schult, Bastian Leibe

19

citations
OoDIS: Anomaly Instance Segmentation and Detection Benchmark
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann

1

citations
A Self-Supervised Transformer for Unusable Shared Bike Detection
2025 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Advanced Neural Network Applications Open access

Yin Huang, Yongqi Dong, Youhua Tang, Álvaro García

1

citations
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
2021 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Christian Schmidt, Ali Athar, Sabarinath Mahadevan, Bastian Leibe

0

citations
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Rahul Goswami, Shinjini Paul, Palash Ghosh, Tanujit Chakraborty

0

citations
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
2021 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman

3

citations
Adaptive Control Strategies for Networked Systems: A Reinforcement Learning-Based Approach
2025 Electronics article Computer Science Reinforcement Learning in Robotics Open access

André Gilerson, Niklas Bünte, Pierre Kehl, Robert Heinrich Schmitt

1

citations
Signal processing on simplicial complexes
2021 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

3

citations
Reinforcement learning for real-world production systems
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Reinforcement Learning in Robotics Open access

0

citations
Adaptive optimal trajectory tracking control of delta robots with online parameter estimation
2025 Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering article Computer Science Adaptive Dynamic Programming Control

Mingkun Wu, Burkhard J. Corves

2

citations
ViT-Enhanced Prompts: Integrating Pre-Trained Knowledge for Robust Continuous Learning
2025 International Conference on Multimedia Retrieval conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Guoqiang Xiao, Michael S. Lew, Song Wu

2

citations
Video Representation Learning for Decoupled Deep Reinforcement Learning Applied to Autonomous Driving
2023 IEEE/SICE International Symposium on System Integration (SII) conference-paper Computer Science Reinforcement Learning in Robotics

Shawan Taha Mohammed, Mohamed Kastouri, Artur Niederfahrenhorst, Gerd Ascheid

1

citations
Slot Structured World Models
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jonathan Collu, Riccardo Majellaro, Aske Plaat, Thomas M. Moerland

0

citations