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David Von Dollen
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2020 – today
- 2023
- [j2]Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen:
Hybrid quantum ResNet for car classification and its hyperparameter optimization. Quantum Mach. Intell. 5(2): 1-15 (2023) - [c3]David Von Dollen, Reuben Brasher, Florian Neukart, Thomas Bäck:
Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies. CiSt 2023: 536-540 - 2022
- [c2]David Von Dollen, Sheir Yarkoni, Daniel Weimer, Florian Neukart, Thomas Bäck:
Quantum-enhanced selection operators for evolutionary algorithms. GECCO Companion 2022: 463-466 - [i8]Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen:
Hyperparameter optimization of hybrid quantum neural networks for car classification. CoRR abs/2205.04878 (2022) - [i7]David Von Dollen, Sheir Yarkoni, Daniel Weimer, Florian Neukart, Thomas Bäck:
Quantum-Enhanced Selection Operators for Evolutionary Algorithms. CoRR abs/2206.10743 (2022) - 2021
- [c1]Sheir Yarkoni, Alex Alekseyenko, Michael Streif, David Von Dollen, Florian Neukart, Thomas Bäck:
Multi-car paint shop optimization with quantum annealing. QCE 2021: 35-41 - [i6]David Von Dollen, Florian Neukart, Daniel Weimer, Thomas Bäck:
Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling. CoRR abs/2104.04049 (2021) - [i5]Sheir Yarkoni, Alex Alekseyenko, Michael Streif, David Von Dollen, Florian Neukart, Thomas Bäck:
Multi-car paint shop optimization with quantum annealing. CoRR abs/2109.07876 (2021) - 2020
- [i4]Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni:
TensorFlow Quantum: A Software Framework for Quantum Machine Learning. CoRR abs/2003.02989 (2020)
2010 – 2019
- 2017
- [j1]Florian Neukart, Gabriele Compostella, Christian Seidel, David Von Dollen, Sheir Yarkoni, Bob Parney:
Traffic Flow Optimization Using a Quantum Annealer. Frontiers ICT 4: 29 (2017) - [i3]David Von Dollen:
Identifying Similarities in Epileptic Patients for Drug Resistance Prediction. CoRR abs/1704.08361 (2017) - [i2]Florian Neukart, Gabriele Compostella, Christian Seidel, David Von Dollen, Sheir Yarkoni, Bob Parney:
Traffic flow optimization using a quantum annealer. CoRR abs/1708.01625 (2017) - [i1]Florian Neukart, David Von Dollen, Christian Seidel, Gabriele Compostella:
Quantum-enhanced reinforcement learning for finite-episode games with discrete state spaces. CoRR abs/1708.09354 (2017)
Coauthor Index
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