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ORCIDClaudia Linnhoff-Popien
Claudia Linnhoff – Claudia Popien
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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2023
[c133]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- [c132]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 - [c131]Thomas Gabor
, Sebastian Zielinski, Sofie Henghuber, Claudia Linnhoff-Popien:
A Relative Approach to Comparative Performance Analysis for Quantum Optimization. GECCO Companion 2023: 2211-2215 - [c130]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 - [c129]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 - [c128]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 - [c127]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 - [c126]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 - [c125]Michael Kölle, Steffen Illium, Carsten Hahn, Lorenz Schauer, Johannes Hutter, Claudia Linnhoff-Popien:
Compression of GPS Trajectories Using Autoencoders. ICAART (3) 2023: 829-836 - [c124]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 - [c123]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 - [c122]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 - [c121]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 - [i51]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) - [i50]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) - [i49]Michael Kölle, Steffen Illium, Carsten Hahn, Lorenz Schauer, Johannes Hutter, Claudia Linnhoff-Popien:
Compression of GPS Trajectories using Autoencoders. CoRR abs/2301.07420 (2023) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - 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]Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien:
A Probabilistic Game of Life on a Quantum Annealer. ALIFE 2021: 103 - [c91]Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien:
VAST: Value Function Factorization with Variable Agent Sub-Teams. NeurIPS 2021: 24018-24032 - [i23]Andreas Sedlmeier, Michael Kölle, Robert Müller, Leo Baudrexel, Claudia Linnhoff-Popien:
Quantifying Multimodality in World Models. CoRR abs/2112.07263 (2021) - 2020
- [j23]Thomas Gabor, Andreas Sedlmeier, Thomy Phan, Fabian Ritz, Marie Kiermeier, Lenz Belzner, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien:
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems. Int. J. Softw. Tools Technol. Transf. 22(4): 457-476 (2020) - [c90]Thomy Phan, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien:
Learning and Testing Resilience in Cooperative Multi-Agent Systems. AAMAS 2020: 1055-1063 - [c89]Thomas Gabor, Sebastian Zielinski, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The U Q Platform: A U nifed Approach To Q uantum Annealing. ICCCS 2020: 115-119 - [c88]Sebastian Feld, Christoph Roch, Thomas Gabor, Xiao-Ting Michelle To, Claudia Linnhoff-Popien:
The Dynamic Time Warping Distance Measure as Q U BO Formulation. ICCCS 2020: 946-950 - [c87]Irmi Sax, Sebastian Feld, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Wolfgang Mauerer:
Approximate approximation on a quantum annealer. CF 2020: 108-117 - [c86]Markus Friedrich, Steffen Illium, Pierre-Alain Fayolle, Claudia Linnhoff-Popien:
A Hybrid Approach for Segmenting and Fitting Solid Primitives to 3D Point Clouds. VISIGRAPP (1: GRAPP) 2020: 38-48 - [c85]Markus Friedrich, Steffen Illium, Pierre-Alain Fayolle, Claudia Linnhoff-Popien:
CSG Tree Extraction from 3D Point Clouds and Meshes Using a Hybrid Approach. VISIGRAPP (Revised Selected Papers) 2020: 53-79 - [c84]Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien:
Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. ICAART (1) 2020: 144-151 - [c83]Carsten Hahn, Thomy Phan, Sebastian Feld, Christoph Roch, Fabian Ritz, Andreas Sedlmeier, Thomas Gabor, Claudia Linnhoff-Popien:
Nash Equilibria in Multi-Agent Swarms. ICAART (1) 2020: 234-241 - [c82]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning. ICAART (2) 2020: 522-529 - [c81]Andreas Sedlmeier, Robert Müller, Steffen Illium, Claudia Linnhoff-Popien:
Policy Entropy for Out-of-Distribution Classification. ICANN (2) 2020: 420-431 - [c80]Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien:
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. ICCS (6) 2020: 488-501 - [c79]Christoph Roch, Alexander Impertro, Thomy Phan, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA. ICRC 2020: 50-57 - [c78]Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien:
Insights on Training Neural Networks for QUBO Tasks. ICSE (Workshops) 2020: 436-441 - [c77]Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. ICSE (Workshops) 2020: 456-461 - [c76]Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien:
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms. INTERSPEECH 2020: 2052-2056 - [c75]Carsten Hahn, Fabian Ritz, Paula Wikidal, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien:
Foraging Swarms using Multi-Agent Reinforcement Learning. ALIFE 2020: 333-340 - [c74]Fabian Ritz, Felix Hohnstein, Robert Müller, Thomy Phan, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien:
Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting. ALIFE 2020: 518-525 - [c73]Thomas Gabor, Claudia Linnhoff-Popien:
A Formal Model for Reasoning About the Ideal Fitness in Evolutionary Processes. ISoLA (2) 2020: 473-490 - [e5]Wolfgang Mauerer, Sebastian Feld, Claudia Linnhoff-Popien:
Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software, APEQS@ESEC/SIGSOFT FSE 2021, Virtual Event, USA, November 13, 2020. ACM 2020, ISBN 978-1-4503-8100-0 [contents] - [i22]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning. CoRR abs/2001.00496 (2020) - [i21]Sebastian Feld, Markus Friedrich, Claudia Linnhoff-Popien:
Optimizing Geometry Compression using Quantum Annealing. CoRR abs/2003.13253 (2020) - [i20]Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. CoRR abs/2004.14035 (2020) - [i19]Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien:
Insights on Training Neural Networks for QUBO Tasks. CoRR abs/2004.14036 (2020) - [i18]Andreas Sedlmeier, Robert Müller, Steffen Illium, Claudia Linnhoff-Popien:
Policy Entropy for Out-of-Distribution Classification. CoRR abs/2005.12069 (2020) - [i17]Robert Müller, Fabian Ritz, Steffen Illium, Claudia Linnhoff-Popien:
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning. CoRR abs/2006.03429 (2020) - [i16]Stefan Langer, Liza Obermeier, André Ebert, Markus Friedrich, Emma Munisamy, Claudia Linnhoff-Popien:
Content-based Recommendations for Radio Stations with Deep Learned Audio Fingerprints. CoRR abs/2007.07486 (2020) - [i15]Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien:
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms. CoRR abs/2008.04590 (2020) - [i14]Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs, Claudia Linnhoff-Popien:
Acoustic Leak Detection in Water Networks. CoRR abs/2012.06280 (2020) - [i13]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. CoRR abs/2012.07949 (2020)
2010 – 2019
- 2019
- [j22]Sebastian Feld, Christoph Roch, Thomas Gabor, Christian Seidel, Florian Neukart, Isabella Galter, Wolfgang Mauerer, Claudia Linnhoff-Popien:
A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer. Frontiers ICT 6: 13 (2019) - [c72]Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien:
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling. AAAI 2019: 7941-7948 - [c71]Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. AAMAS 2019: 2162-2164 - [c70]Markus Friedrich, Pierre-Alain Fayolle, Thomas Gabor, Claudia Linnhoff-Popien:
Optimizing evolutionary CSG tree extraction. GECCO 2019: 1183-1191 - [c69]Carsten Hahn, Sebastian Feld, Manuel Zierl, Claudia Linnhoff-Popien:
Dynamic Path Planning with Stable Growing Neural Gas. ICAART (1) 2019: 138-145 - [c68]Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien:
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. IJCAI 2019: 5562-5568 - [c67]Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien:
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. IJCAI 2019: 5607-5613 - [c66]Thomas Gabor, Steffen Illium, Andy Mattausch, Lenz Belzner, Claudia Linnhoff-Popien:
Self-Replication in Neural Networks. ALIFE 2019: 424-431 - [c65]Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning. ALIFE 2019: 598-605 - [c64]Robert Müller, Stefan Langer, Fabian Ritz, Christoph Roch, Steffen Illium, Claudia Linnhoff-Popien:
Soccer Team Vectors. PKDD/ECML Workshops (2) 2019: 247-257 - [c63]