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Claudia Linnhoff-Popien
Claudia Linnhoff – Claudia Popien
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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2024
- [j26]Thomy Phan, Felix Sommer, Fabian Ritz, Philipp Altmann, Jonas Nüßlein, Michael Kölle, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 38(2): 34 (2024) - [c155]Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Quantum Circuit Design: A Reinforcement Learning Challenge. AAMAS 2024: 2123-2125 - [c154]Sebastian Zielinski, Maximilian Zorn, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. GECCO Companion 2024: 1984-1992 - [c153]Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien:
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms. ICAART (1) 2024: 59-70 - [c152]Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. ICAART (1) 2024: 71-82 - [c151]Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien:
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. ICAART (1) 2024: 83-94 - [c150]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 - [c149]Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien:
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. ICAART (2) 2024: 177-185 - [c148]Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien:
Quantum Advantage Actor-Critic for Reinforcement Learning. ICAART (1) 2024: 297-304 - [c147]Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien:
ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering. ICAART (1) 2024: 305-312 - [c146]Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements. ICAART (2) 2024: 324-335 - [c145]Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien:
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. ICAART (3) 2024: 352-359 - [c144]Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien:
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. ICAART (3) 2024: 649-656 - [c143]Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien:
Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. ICAART (3) 2024: 1127-1134 - [c142]Sebastian Zielinski, Magdalena Benkard, Jonas Nüßlein, Claudia Linnhoff-Popien, Sebastian Feld:
SATQUBOLIB: A Python Framework for Creating and Benchmarking (Max-)3SAT QUBOs. I4CS 2024: 48-66 - [c141]Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien:
Quantum Denoising Diffusion Models. QSW 2024: 88-98 - [i69]Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien:
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering. CoRR abs/2401.03504 (2024) - [i68]Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien:
Quantum Advantage Actor-Critic for Reinforcement Learning. CoRR abs/2401.07043 (2024) - [i67]Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien:
Quantum Denoising Diffusion Models. CoRR abs/2401.07049 (2024) - [i66]Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien:
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. CoRR abs/2401.07054 (2024) - [i65]Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien:
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms. CoRR abs/2401.07056 (2024) - [i64]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) - [i63]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) - [i62]David Bucher, Nico Kraus, Jonas Blenninger, Michael Lachner, Jonas Stein, Claudia Linnhoff-Popien:
Towards Robust Benchmarking of Quantum Optimization Algorithms. CoRR abs/2405.07624 (2024) - [i61]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) - [i60]Jonas Stein, Jonas Blenninger, David Bucher, Josef Peter Eder, Elif Çetiner, Maximilian Zorn, Claudia Linnhoff-Popien:
CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA. CoRR abs/2407.13012 (2024) - [i59]Tobias Rohe, Daniëlle Schuman, Jonas Nüßlein, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien:
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms. CoRR abs/2407.17204 (2024) - [i58]Michael Kölle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization. CoRR abs/2407.20739 (2024) - [i57]Michael Kölle, Afrae Ahouzi, Pascal Debus, Elif Çetiner, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling. CoRR abs/2407.20753 (2024) - [i56]Jonas Nüßlein, Daniëlle Schuman, David Bucher, Naeimeh Mohseni, Kumar Jang Bahadur Ghosh, Corey O'Meara, Giorgio Cortiana, Claudia Linnhoff-Popien:
Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games. CoRR abs/2408.04366 (2024) - [i55]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
- [c140]Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. AAMAS 2023: 2839-2841 - [c139]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 - [c138]Thomas Gabor, Sebastian Zielinski, Sofie Henghuber, Claudia Linnhoff-Popien:
A Relative Approach to Comparative Performance Analysis for Quantum Optimization. GECCO Companion 2023: 2211-2215 - [c137]Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, Claudia Linnhoff-Popien:
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. GECCO Companion 2023: 2254-2262 - [c136]Sebastian Zielinski, Jonas Nüßlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study. GECCO Companion 2023: 2263-2271 - [c135]Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Claudia Linnhoff-Popien:
Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping. ICAART (2) 2023: 251-258 - [c134]Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe, Robert Müller, Claudia Linnhoff-Popien:
Weight Re-mapping for Variational Quantum Algorithms. ICAART (Revised Selected Paper) 2023: 286-309 - [c133]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 - [c132]Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien:
SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training. ICAART (3) 2023: 744-751 - [c131]Michael Kölle, Steffen Illium, Carsten Hahn, Lorenz Schauer, Johannes Hutter, Claudia Linnhoff-Popien:
Compression of GPS Trajectories Using Autoencoders. ICAART (3) 2023: 829-836 - [c130]Jonas Nüßlein, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization. ICCS (5) 2023: 34-47 - [c129]Jonas Nüßlein, Christoph Roch, Thomas Gabor, Jonas Stein, Claudia Linnhoff-Popien, Sebastian Feld:
Black Box Optimization Using QUBO and the Cross Entropy Method. ICCS (5) 2023: 48-55 - [c128]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 - [c127]Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan:
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing. IJCAI 2023: 3414-3422 - [c126]Jonas Stein, Ivo Christ, Nicolas Kraus, Maximilian Balthasar Mansky, Robert Müller, Claudia Linnhoff-Popien:
Applying QNLP to Sentiment Analysis in Finance. QCE 2023: 20-25 - [c125]Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien:
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. QCE 2023: 42-47 - [c124]Petros Stougiannidis, Jonas Stein, David Bucher, Sebastian Zielinski, Claudia Linnhoff-Popien, Sebastian Feld:
Approximative Lookup-Tables and Arbitrary Function Rotations for Facilitating NISQ-Implementations of the HHL and Beyond. QCE 2023: 151-160 - [c123]Maximilian Balthasar Mansky, Victor Ramos Puigvert, Santiago Londoño Castillo, Claudia Linnhoff-Popien:
Decomposition Algorithm of an Arbitrary Pauli Exponential Through a Quantum Circuit. QCE 2023: 434-442 - [c122]Maximilian Balthasar Mansky, Jonas Nüßlein, David Bucher, Daniëlle Schuman, Sebastian Zielinski, Claudia Linnhoff-Popien:
Sampling problems on a Quantum Computer. QCE 2023: 485-495 - [c121]Maximilian Balthasar Mansky, Franziska Wörle, Jonas Korbinian Stein, Robert Müller, Claudia Linnhoff-Popien:
Adapting the DisCoCat-Model for Question Answering in the Chinese Language. QCE 2023: 591-600 - [i54]Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. CoRR abs/2301.01649 (2023) - [i53]Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien:
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training. CoRR abs/2301.02601 (2023) - [i52]Michael Kölle, Steffen Illium, Carsten Hahn, Lorenz Schauer, Johannes Hutter, Claudia Linnhoff-Popien:
Compression of GPS Trajectories using Autoencoders. CoRR abs/2301.07420 (2023) - [i51]Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien:
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. CoRR abs/2301.07421 (2023) - [i50]Jonas Nüßlein, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization. CoRR abs/2302.03536 (2023) - [i49]Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan:
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing. CoRR abs/2304.13616 (2023) - [i48]Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, Claudia Linnhoff-Popien:
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. CoRR abs/2305.03390 (2023) - [i47]Jonas Stein, Jezer Jojo, Afrah Farea, David Bucher, Philipp Altmann, Claudia Linnhoff-Popien:
Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem. CoRR abs/2305.08482 (2023) - [i46]Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien:
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. CoRR abs/2306.04998 (2023) - [i45]Petros Stougiannidis, Jonas Stein, David Bucher, Sebastian Zielinski, Claudia Linnhoff-Popien, Sebastian Feld:
Approximative lookup-tables and arbitrary function rotations for facilitating NISQ-implementations of the HHL and beyond. CoRR abs/2306.05024 (2023) - [i44]Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien:
Quantum Surrogate Modeling for Chemical and Pharmaceutical Development. CoRR abs/2306.05042 (2023) - [i43]Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien:
Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern. CoRR abs/2306.05047 (2023) - [i42]Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe, Robert Müller, Claudia Linnhoff-Popien:
Weight Re-Mapping for Variational Quantum Algorithms. CoRR abs/2306.05776 (2023) - [i41]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) - [i40]Jonas Stein, Ivo Christ, Nicolas Kraus, Maximilian Balthasar Mansky, Robert Müller, Claudia Linnhoff-Popien:
Applying QNLP to sentiment analysis in finance. CoRR abs/2307.11788 (2023) - [i39]Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization. CoRR abs/2311.05546 (2023) - [i38]Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien:
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. CoRR abs/2311.05559 (2023) - [i37]Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien:
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines. CoRR abs/2311.15966 (2023) - [i36]Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien:
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. CoRR abs/2312.05552 (2023) - [i35]Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements. CoRR abs/2312.09174 (2023) - [i34]Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Challenges for Reinforcement Learning in Quantum Computing. CoRR abs/2312.11337 (2023) - 2022
- [j25]Thomas Gabor, Steffen Illium, Maximilian Zorn, Cristian Lenta, Andy Mattausch, Lenz Belzner, Claudia Linnhoff-Popien:
Self-Replication in Neural Networks. Artif. Life 28(2): 205-223 (2022) - [c120]Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Cooperation from Mutual Acknowledgment Exchange. AAMAS 2022: 1047-1055 - [c119]Robert Müller, Steffen Illium, Thomy Phan, Tom Haider, Claudia Linnhoff-Popien:
Towards Anomaly Detection in Reinforcement Learning. AAMAS 2022: 1799-1803 - [c118]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 - [c117]Thomas Gabor, Michael Lachner, Nico Kraus, Christoph Roch, Jonas Stein, Daniel Ratke, Claudia Linnhoff-Popien:
Modifying the quantum-assisted genetic algorithm. GECCO Companion 2022: 2205-2213 - [c116]Jonas Nüßlein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Algorithmic QUBO formulations for k-SAT and hamiltonian cycles. GECCO Companion 2022: 2240-2246 - [c115]Steffen Illium, Thore Schillman, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. ICAART (3) 2022: 308-315 - [c114]Andreas Sedlmeier, Michael Kölle, Robert Müller, Leo Baudrexel, Claudia Linnhoff-Popien:
Quantifying Multimodality in World Models. ICAART (1) 2022: 367-374 - [c113]Jonas Nüßlein, Steffen Illium, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Case-Based Inverse Reinforcement Learning Using Temporal Coherence. ICCBR 2022: 304-317 - [c112]Christoph Roch, Santiago Londoño Castillo, Claudia Linnhoff-Popien:
A Grover based Quantum Algorithm for Finding Pure Nash Equilibria in Graphical Games. ICSA Companion 2022: 147-151 - [c111]Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien:
Simple Quantum State Encodings for Hybrid Programming of Quantum Simulators. ICSA Companion 2022: 170-173 - [c110]Christoph Roch, David Winderl, Claudia Linnhoff-Popien, Sebastian Feld:
A Quantum Annealing Approach for Solving Hard Variants of the Stable Marriage Problem. I4CS 2022: 294-307 - [c109]Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies Within Machine Learning via a Formal Process Model. ISoLA (3) 2022: 249-265 - [c108]Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor:
Constructing Organism Networks from Collaborative Self-Replicators. SSCI 2022: 1268-1275 - [c107]Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien, Sebastian Feld:
How to Approximate any Objective Function via Quadratic Unconstrained Binary Optimization. SANER 2022: 1249-1257 - [i33]Jonas Nüßlein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles. CoRR abs/2204.13539 (2022) - [i32]Jonas Nüßlein, Steffen Illium, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Case-Based Inverse Reinforcement Learning Using Temporal Coherence. CoRR abs/2206.05827 (2022) - [i31]Jonas Nüßlein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Black Box Optimization Using QUBO and the Cross Entropy Method. CoRR abs/2206.12510 (2022) - [i30]Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien:
Stochastic Market Games. CoRR abs/2207.07388 (2022) - [i29]Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies within Machine Learning via a Formal Process Model. CoRR abs/2208.05219 (2022) - [i28]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) - [i27]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) - [i26]Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien:
Visual Transformers for Primates Classification and Covid Detection. CoRR abs/2212.10093 (2022) - [i25]Steffen Illium, Thore Schillman, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. CoRR abs/2212.11085 (2022) - [i24]Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Claudia Linnhoff-Popien:
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping. CoRR abs/2212.14807 (2022) - 2021
- [j24]Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Productive fitness in diversity-aware evolutionary algorithms. Nat. Comput. 20(3): 363-376 (2021) - [c106]Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien:
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. AAAI 2021: 11308-11316 - [c105]Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
Specification Aware Multi-Agent Reinforcement Learning. ICAART (Revised Selected Papers) 2021: 3-21 - [c104]Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning. ICAART (1) 2021: 28-37 - [c103]Robert Müller, Fabian Ritz, Steffen Illium, Claudia Linnhoff-Popien:
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning. ICAART (2) 2021: 49-56 - [c102]Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs, Claudia Linnhoff-Popien:
Acoustic Leak Detection in Water Networks. ICAART (2) 2021: 306-313 - [c101]Christoph Roch, Alexander Impertro, Claudia Linnhoff-Popien:
Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing. ICCS (6) 2021: 60-73 - [c100]Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien:
Stochastic Market Games. IJCAI 2021: 384-390 - [c99]Robert Müller, Steffen Illium, Claudia Linnhoff-Popien:
Deep Recurrent Interpolation Networks for Anomalous Sound Detection. IJCNN 2021: 1-7 - [c98]Kyrill Schmid, Robert Müller, Lenz Belzner, Johannes Tochtermann, Claudia Linnhoff-Popien:
Distributed Emergent Agreements with Deep Reinforcement Learning. IJCNN 2021: 1-8 - [c97]Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien:
Visual Transformers for Primates Classification and Covid Detection. Interspeech 2021: 451-455 - [c96]Robert Müller, Steffen Illium, Claudia Linnhoff-Popien:
A Deep and Recurrent Architecture for Primate Vocalization Classification. Interspeech 2021: 461-465 - [c95]Kyrill Schmid, Lenz Belzner, Claudia Linnhoff-Popien:
Learning to Penalize Other Learning Agents. ALIFE 2021: 59 - [c94]Fabian Ritz, Daniel Ratke, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning. ALIFE 2021: 74 - [c93]Thomas Gabor, Steffen Illium, Maximilian Zorn, Claudia Linnhoff-Popien:
Goals for Self-Replicating Neural Networks. ALIFE 2021: 101 - [c92]