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Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models2026 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
0citations -
Hardware Realization of Neuromorphic Computing with a 4-Port Photonic Reservoir for Modulation Format Identification2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access
Enes Şeker, Rijil Thomas, Guillermo von Hünefeld, Stephan Suckow, Mahdi Kaveh, Gregor Ronniger, +6 more
2citations -
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang
2citations -
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
0citations -
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang
0citations
23 results