Scholar
Maximilian Krahn
Google Scholar ID: Dg5q7-QAAAAJ
Student at Aalto University
Citations & Impact
Citations
27
H-index
3
i10-index
1
Publications
9
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- ['"Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients", BMVC 2024', '"A quantum annealer deployable optimiser for binary neural networks"', '"Scheduling conditional task graphs with deep reinforcement learning", NLDL 2024', '"TIDE: Time Derivative Diffusion for Deep Learning on Graphs", ICLM 2023 (shared first author)', '"QuAnt: Quantum Annealing with Learnt Couplings", ICLR 2023 (Spotlight, top 20%)', '"Shifting our Awareness, Taking Back Tags: Temporal Changes in Computer Vision Services' Social Behaviors", ICWSM 2022', '"Convex Joint Graph Matching and Clustering via Semidefinite Relaxations", 3DV 2021', 'Conference reviewer for CVPR (2023, 2024), ICCV (2023), NeurIPS (2022, 2023), ICWSM (2021)']
Research Experience
- 05/2025–08/2025: Summer Research Intern at Huawei Camera Lab, Tampere, Finland
- 06/2024–08/2024: Summer Quantum Student at Los Alamos National Laboratory, USA
- 08/2023–01/2024: Visiting Student Researcher at KAUST, Saudi Arabia, in Prof. Peter Wonka's lab on 3D neural representation
- 10/2022–12/2022: Research Assistant at Aalto University, Finland, in Vesa Hirvisalo's lab on Reinforcement Learning
- 06/2022–08/2022: Summer Research Intern at École Polytechnique, France, in Maks Ovsjanikov's lab on graph diffusion methods
- 07/2021–09/2022: Research Assistant at MPI-Inf, in Dr. Vladislav Golyanik's group on Quantum Computer Vision algorithms
Education
- 2019–2021: BSc in Mathematics and Computer Science at Saarland University, Germany (GPA 1.8/1)
- 2021–2024: MSc in Machine Learning at Aalto University, Finland (GPA 4.95/5)
- 2023: Visiting Student at Imperial College London, UK, working on master thesis in Dr. Tolga Birdal's group
- 2024–2025: One year of PhD studies at Aalto University, Finland, in topological deep learning
- 2025–present: PhD at Imperial College London, UK, in topological deep learning
