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Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek
1citations -
Abnormality-Driven Representation Learning for Radiology Imaging2025 Lecture notes in computer science conference-paper Medicine Radiomics and Machine Learning in Medical Imaging Open access
Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather
0citations -
Unifying Qubit Routing Across Diverse Quantum ISAs via Canonical Representation2026 ACM/IEEE International Symposium on Computer Architecture (ISCA) conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access
Zhaohui Yang, Xiangyu Ren, Yingjian Liu, Dawei Ding, Jianxin Chen, Yuan Xie
1citations -
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving2024 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Computer Science Reinforcement Learning in Robotics
Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid
0citations -
Efficient Implementation of LIMDDs for Quantum Circuit Simulation2023 Lecture notes in computer science conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access
Lieuwe Vinkhuijzen, Thomas Grurl, Stefan Hillmich, Sebastiaan Brand, Robert Wille, Alfons Laarman
9citations -
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection261citations
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3D Shape Generation with Grid-based Implicit Functions40citations
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Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees10citations