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Maximilian Zorn
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2020 – today
- 2024
- [c16]Maximilian Zorn
, Sarah Gerner
Final Productive Fitness for Surrogates in Evolutionary Algorithms. GECCO Companion 2024: 583-586 - [c15]Sebastian Zielinski
Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. GECCO Companion 2024: 1984-1992 - [c14]Michael Kölle
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. ICAART (1) 2024: 83-94 - [c13]Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien:
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. ICAART (2) 2024: 99-109 - [c12]Michael Kölle
Quantum Advantage Actor-Critic for Reinforcement Learning. ICAART (1) 2024: 297-304 - [c11]Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher
Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. ICAART (3) 2024: 1127-1134 - [c10]Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor:
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. IJCCI 2024: 127-138 - [c9]Philipp Altmann, Julian Schönberger, Maximilian Zorn, Thomas Gabor:
Finding Strong Lottery Ticket Networks with Genetic Algorithms. IJCCI 2024: 449-460 - [c8]Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor:
Emergence in Multi-agent Systems: A Safety Perspective. ISoLA (2) 2024: 104-120 - [i15]Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein
Quantum Advantage Actor-Critic for Reinforcement Learning. CoRR abs/2401.07043 (2024) - [i14]Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. CoRR abs/2401.07054 (2024) - [i13]Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor:
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. CoRR abs/2404.03359 (2024) - [i12]Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien:
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. CoRR abs/2404.03431 (2024) - [i11]Sebastian Zielinski, Maximilian Zorn, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. CoRR abs/2405.09272 (2024) - [i10]Jonas Stein, Jonas Blenninger, David Bucher, Josef Peter Eder
CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA. CoRR abs/2407.13012 (2024) - [i9]Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor:
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. CoRR abs/2408.01187 (2024) - [i8]Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor:
Emergence in Multi-Agent Systems: A Safety Perspective. CoRR abs/2408.04514 (2024) - [i7]Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien:
Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers. CoRR abs/2408.04751 (2024) - 2023
- [c7]Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien:
Improving Primate Sounds Classification Using Binary Presorting for Deep Learning. DeLTA 2023: 19-34 - [c6]Jonas Stein
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. GECCO Companion 2023: 2254-2262 - [c5]Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien:
VoronoiPatches: Evaluating a New Data Augmentation Method. ICAART (3) 2023: 350-357 - [c4]Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability. ICML 2023: 27840-27853 - [i6]Jonas Stein
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. CoRR abs/2305.03390 (2023) - [i5]Jonas Stein
Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern. CoRR abs/2306.05047 (2023) - [i4]Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien:
Improving Primate Sounds Classification using Binary Presorting for Deep Learning. CoRR abs/2306.16054 (2023) - [i3]Jonas Stein
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. CoRR abs/2312.05552 (2023) - 2022
- [j1]Thomas Gabor, Steffen Illium
Self-Replication in Neural Networks. Artif. Life 28(2): 205-223 (2022) - [c3]Thomas Gabor, Maximilian Zorn, Claudia Linnhoff-Popien:
The applicability of reinforcement learning for the automatic generation of state preparation circuits. GECCO Companion 2022: 2196-2204 - [c2]Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor:
Constructing Organism Networks from Collaborative Self-Replicators. SSCI 2022: 1268-1275 - [i2]Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien:
VoronoiPatches: Evaluating A New Data Augmentation Method. CoRR abs/2212.10054 (2022) - [i1]Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor:
Constructing Organism Networks from Collaborative Self-Replicators. CoRR abs/2212.10078 (2022) - 2021
- [c1]Thomas Gabor, Steffen Illium
Goals for Self-Replicating Neural Networks. ALIFE 2021: 101
Coauthor Index
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