Philipp Altmann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
9
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICAART | Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits. | Michael Klle, Leonhard Klingert, Julian Schnberger, Philipp Altmann, Tobias Rohe, Claudia Linnhoff-Popien |
| 2026 | ICAART | Quantum Architecture Search for Solving Quantum Machine Learning Tasks. | Michael Klle, Simon Salfer, Tobias Rohe, Philipp Altmann, Claudia Linnhoff-Popien |
| 2025 | GECCO | Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms. | Leo Snkel, Philipp Altmann, Michael Klle, Gerhard Stenzel, Thomas Gabor, Claudia Linnhoff-Popien |
| 2025 | ICAART | PIMAEX: Multi-Agent Exploration Through Peer Incentivization. | Michael Klle, Johannes Tochtermann, Julian Schnberger, Gerhard Stenzel, Philipp Altmann, Claudia Linnhoff-Popien |
| 2025 | ICAART | MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. | Philipp Altmann, Katharina Winter, Michael Klle, Maximilian Zorn, Claudia Linnhoff-Popien |
| 2025 | ICAART | Swarm Behavior Cloning. | Jonas Nlein, Maximilian Zorn, Philipp Altmann, Claudia Linnhoff-Popien |
| 2025 | ICAART | Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. | Gerhard Stenzel, Sebastian Zielinski, Michael Klle, Philipp Altmann, Jonas Nlein, Thomas Gabor |
| 2025 | ICAPS | Quality Diversity for Variational Quantum Circuit Optimization. | Maximilian Zorn, Jonas Stein, Maximilian Balthasar Mansky, Philipp Altmann, Michael Klle, Claudia Linnhoff-Popien |
| 2024 | GECCO | Final Productive Fitness for Surrogates in Evolutionary Algorithms. | Maximilian Zorn, Sarah Gerner, Philipp Altmann, Thomas Gabor |
| 2024 | ICAART | Quantum Advantage Actor-Critic for Reinforcement Learning. | Michael Klle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien |
| 2024 | ICAART | Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. | Michael Klle, Jonas Maurer, Philipp Altmann, Leo Snkel, Jonas Stein, Claudia Linnhoff-Popien |
| 2024 | ICAART | Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. | Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Klle, Jonas Nlein, Danille Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien |
| 2024 | ICAART | Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. | Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Klle, Claudia Linnhoff-Popien |
| 2024 | ICAART | A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. | Michael Klle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien |
| 2024 | ICAART | Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. | Michael Klle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nlein, Claudia Linnhoff-Popien |
| 2024 | ICAART | Quantum Transfer Learning: The Impact of Classical Preprocessing. | Michael Klle, Jonas Maurer, Philipp Altmann, Leo Snkel, Jonas Stein, Julian Hager, Sebastian Zielinski, Claudia Linnhoff-Popien |
| 2024 | ICAART | Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization. | Michael Klle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nlein, Claudia Linnhoff-Popien |
| 2024 | ICAART | Sequential Hamiltonian Assembly: Enhancing the Training of Combinatorial Optimization Problems on Quantum Computers. | Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Klle, Philipp Altmann, Claudia Linnhoff-Popien |
| 2024 | ICAART | Quantum Federated Learning for Image Classification. | Leo Snkel, Philipp Altmann, Michael Klle, Thomas Gabor |
| 2024 | IJCCI | REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. | Philipp Altmann, Cline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor |
| 2024 | IJCCI | Finding Strong Lottery Ticket Networks with Genetic Algorithms. | Philipp Altmann, Julian Schnberger, Maximilian Zorn, Thomas Gabor |
| 2024 | ISoLA | Emergence in Multi-agent Systems: A Safety Perspective. | Philipp Altmann, Julian Schnberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor |
| 2024 | QCE | Challenges for Reinforcement Learning in Quantum Circuit Design. | Philipp Altmann, Jonas Stein, Michael Klle, Adelina Brligea, Maximilian Zorn, Thomas Gabor, Thomy Phan, Sebastian Feld, Claudia Linnhoff-Popien |
| 2024 | QCE | Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. | Michael Klle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor |
| 2024 | QCE | On the Quantum Impact in Hybrid Classical-Quantum Transfer Learning. | Leo Snkel, Philipp Altmann, Michael Klle, Thomas Gabor |
| 2024 | QCE | Cohesive Quantum Circuit Layer Construction with Reinforcement Learning. | Maximilian Zorn, Jonas Stein, Philipp Altmann, Michael Klle, Claudia Linnhoff-Popien, Thomas Gabor |
| 2024 | VECoS | SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning. | Gerhard Stenzel, Kyrill Schmid, Michael Klle, Philipp Altmann, Marian Lingsch Rosenfeld, Maximilian Zorn, Tim Bcher, Thomas Gabor, Martin Wirsing, Lenz Belzner |
| 2023 | ICAART | SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training. | Philipp Altmann, Leo Snkel, Jonas Stein, Tobias Mller, Christoph Roch, Claudia Linnhoff-Popien |
| 2023 | ICAART | Learning to Participate Through Trading of Reward Shares. | Michael Klle, Tim Matheis, Philipp Altmann, Kyrill Schmid |
| 2023 | ICML | Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability. | Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nlein, Michael Klle, Thomas Gabor, Claudia Linnhoff-Popien |
| 2023 | IJCAI | CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing. | Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nlein, Claudia Linnhoff-Popien, Thomy Phan |
| 2023 | QCE | Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. | Danille Schuman, Leo Snkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien |
| 2023 | QCE | Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans. | Leo Snkel, Darya Martyniuk, Julia J. Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Altmann, Christoph Roch, Adrian Paschke |
| 2022 | ICAART | Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines. | Tobias Mller, Christoph Roch, Kyrill Schmid, Philipp Altmann |
| 2022 | ISoLA | Capturing Dependencies Within Machine Learning via a Formal Process Model. | Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor |
| 2019 | GECCO | Benchmarking surrogate-assisted genetic recommender systems. | Thomas Gabor, Philipp Altmann |