Philipp Altmann

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Quantum Computing

Unit Commitment

Partial Observability

Boltzmann Machines

Top Venues

Publications

Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. CoRR (2024)
Leo Sünkel, Philipp Altmann, Michael Kölle, Thomas Gabor
Quantum Federated Learning for Image Classification. ICAART (3) (2024)
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)
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)
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)
Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. CoRR (2024)
Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. CoRR (2024)
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)
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, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien
Quantum Advantage Actor-Critic for Reinforcement Learning. CoRR (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)
Maximilian Zorn, Sarah Gerner, Philipp Altmann, Thomas Gabor
Final Productive Fitness for Surrogates in Evolutionary Algorithms. GECCO Companion (2024)
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
Quantum Circuit Design: A Reinforcement Learning Challenge. AAMAS (2024)
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)
Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. CoRR (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)
Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid
Learning to Participate Through Trading of Reward Shares. ICAART (1) (2023)
Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid
Learning to Participate through Trading of Reward Shares. CoRR (2023)
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 (2023)
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)
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
Challenges for Reinforcement Learning in Quantum Computing. CoRR (2023)
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 (2023)
Leo Sünkel, Darya Martyniuk, Julia J. Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Altmann, Christoph Roch, Adrian Paschke
Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans. QCE (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)
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)
Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. CoRR (2023)
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)
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)
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 (2023)
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 (2023)
Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. 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)
Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann
Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines. ICAART (1) (2022)
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 (2022)
Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien
Emergent Cooperation from Mutual Acknowledgment Exchange. AAMAS (2022)
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)
Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien
VAST: Value Function Factorization with Variable Agent Sub-Teams. NeurIPS (2021)
Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines. CoRR (2021)
Thomas Gabor, Philipp Altmann
Benchmarking Surrogate-Assisted Genetic Recommender Systems. CoRR (2019)
Thomas Gabor, Philipp Altmann
Benchmarking surrogate-assisted genetic recommender systems. GECCO (Companion) (2019)