Arman Mielke

According to our database, Arman Mielke authored at least 7 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GraIP: A Benchmarking Framework For Neural Graph Inverse Problems.

Semih Cantürk, Andrei Manolache, Arman Mielke, Chendi Qian, Antoine Siraudin, Christopher Morris, Mathias Niepert, Guy Wolf

CoRR, January, 2026

Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization.

Arman Mielke, Uwe Bauknecht, Thilo Strauss, Mathias Niepert

Trans. Mach. Learn. Res., 2026

2025

GraphBench: Next-generation graph learning benchmarking.

Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris

CoRR, December, 2025

Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization.

Arman Mielke, Uwe Bauknecht, Thilo Strauss, Mathias Niepert

CoRR, February, 2025

2023

Efficient Learning of Fast Inverse Kinematics with Collision Avoidance.

Johannes Tenhumberg, Arman Mielke, Berthold Bäuml

Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

2019

Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods.

Luca Della Libera, Vladimir Golkov, Yue Zhu, Arman Mielke, Daniel Cremers

CoRR, 2019

A Framework for Pervasive Visual Deficiency Simulation.

Christoph Schulz, Nils Rodrigues, Marco Amann, Daniel Baumgartner, Arman Mielke, Christian Baumann, Michael Sedlmair, Daniel Weiskopf

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019