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Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning2025 Lecture notes in computer science conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Mario Rüttgers, Fabian Hübenthal, Makoto Tsubokura, Andreas Lintermann
1citations -
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm2022 Computer Physics Communications article Computer Science Quantum Computing Algorithms and Architecture Open access
Dennis Willsch, Madita Willsch, Fengping Jin, Kristel F. L. Michielsen, Hans A. De Raedt
37citations -
Adiabatic Quantum Kitchen Sinks with Parallel Annealing for Remote Sensing Regression Problems2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) conference-paper Computer Science Quantum Computing Algorithms and Architecture
Edoardo Pasetto, Morris Riedel, Kristel F. L. Michielsen, Gabriele Cavallaro
1citations -
Algorithm-Hardware Implications of Softmax Approximations for In-Memory Computing-Based LLM Accelerators2026 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Sebastian Siegel, Chirag Sudarshan, Yuankang Zhao, John Paul Strachan, Emre Neftci
0citations -
Algorithm-Hardware Implications of Softmax Approximations for In-Memory Computing-Based LLM Accelerators2026 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Sebastian Siegel, Chirag Sudarshan, Yuankang Zhao, John Paul Strachan, Emre Neftci
0citations