Jonas Nüßlein

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 37

Top Topics

Boltzmann Machines

Reinforcement Learning

Continuous Optimization

Temporal Coherence

Top Venues

GECCO Companion

Publications

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 (2024)
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) (2024)
Sebastian Zielinski, Magdalena Benkard, Jonas Nüßlein, Claudia Linnhoff-Popien, Sebastian Feld
SATQUBOLIB: A Python Framework for Creating and Benchmarking (Max-)3SAT QUBOs. I4CS (2024)
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)
Tobias Rohe, Daniëlle Schuman, Jonas Nüßlein, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms. CoRR (2024)
Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering. CoRR (2024)
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)
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)
Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. ICAART (1) (2024)
Gerhard Stenzel, Sebastian Zielinski, Michael Kölle, Philipp Altmann, Jonas Nüßlein, Thomas Gabor
Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. CoRR (2024)
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)
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 (2023)
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)
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 (2023)
Jonas Nüßlein, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization. ICCS (5) (2023)
Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien
VoronoiPatches: Evaluating a New Data Augmentation Method. ICAART (3) (2023)
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 (2023)
Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization. CoRR (2023)
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)
Medina Bandic, Luise Prielinger, Jonas Nüßlein, Anabel Ovide, Santiago Rodrigo, Sergi Abadal, Hans van Someren, Gayane Vardoyan, Eduard Alarcón, Carmen G. Almudéver, Sebastian Feld
Mapping Quantum Circuits to Modular Architectures with QUBO. QCE (2023)
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 (2023)
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)
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)
Medina Bandic, Luise Prielinger, Jonas Nüßlein, Anabel Ovide, Santiago Rodrigo, Sergi Abadal, Hans van Someren, Gayane Vardoyan, Eduard Alarcón, Carmen G. Almudéver, Sebastian Feld
Mapping quantum circuits to modular architectures with QUBO. CoRR (2023)
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)
Maximilian Balthasar Mansky, Jonas Nüßlein, David Bucher, Daniëlle Schuman, Sebastian Zielinski, Claudia Linnhoff-Popien
Sampling problems on a Quantum Computer. QCE (2023)
Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien
Improving Primate Sounds Classification using Binary Presorting for Deep Learning. CoRR (2023)
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 (2023)
Jonas Nüßlein, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization. CoRR (2023)
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)
Jonas Nüßlein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
Black Box Optimization Using QUBO and the Cross Entropy Method. CoRR (2022)
Jonas Nüßlein, Steffen Illium, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien
Case-Based Inverse Reinforcement Learning Using Temporal Coherence. CoRR (2022)
Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien
VoronoiPatches: Evaluating A New Data Augmentation Method. CoRR (2022)
Jonas Nüßlein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles. CoRR (2022)
Jonas Nüßlein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
-SAT and hamiltonian cycles. GECCO Companion (2022)
Jonas Nüßlein, Steffen Illium, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien
Case-Based Inverse Reinforcement Learning Using Temporal Coherence. ICCBR (2022)
Jonas Nüßlein
Most Frequent Itemset Optimization. CoRR (2019)