Maximilian Krahn

According to our database, Maximilian Krahn authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Heat Kernel Goes Topological.

Maximilian Krahn, Vikas Garg

CoRR, July, 2025

2024

Scheduling conditional task graphs with deep reinforcement learning.

Anton Debner, Maximilian Krahn, Vesa Hirvisalo

Proceedings of the Northern Lights Deep Learning Conference, 2024

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.

Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal

Proceedings of the 35th British Machine Vision Conference, 2024

2023

TIDE: Time Derivative Diffusion for Deep Learning on Graphs.

Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov

Proceedings of the International Conference on Machine Learning, 2023

QuAnt: Quantum Annealing with Learnt Couplings.

Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Shifting Our Awareness, Taking Back Tags: Temporal Changes in Computer Vision Services' Social Behaviors.

Pinar Barlas, Maximilian Krahn, Styliani Kleanthous, Kyriakos Kyriakou, Jahna Otterbacher

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021

Convex Joint Graph Matching and Clustering via Semidefinite Relaxations.

Maximilian Krahn, Florian Bernard, Vladislav Golyanik

Proceedings of the International Conference on 3D Vision, 2021