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Maximilian Krahn
Maximilian Krahn
Student at Aalto University
Verified email at aalto.fi
Title
Cited by
Cited by
Year
TIDE: Time derivative diffusion for deep learning on graphs
M Behmanesh, M Krahn, M Ovsjanikov
International Conference on Machine Learning, 2015-2030, 2023
52023
Quant: Quantum annealing with learnt couplings
MS Benkner, M Krahn, E Tretschk, Z Lähner, M Moeller, V Golyanik
arXiv preprint arXiv:2210.08114, 2022
22022
Shifting Our Awareness, Taking Back Tags: Temporal Changes in Computer Vision Services’ Social Behaviors
P Barlas, M Krahn, S Kleanthous, K Kyriakou, J Otterbacher
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
12022
QuAnt: Quantum Annealing with Learnt Couplings
M Seelbach Benkner, M Krahn, E Tretschk, Z Lähner, M Moeller, ...
arXiv preprint arXiv:2210.08114, 2022
12022
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
M Krahn, F Bernard, V Golyanik
2021 International Conference on 3D Vision (3DV), 1216-1226, 2021
12021
Scheduling conditional task graphs with deep reinforcement learning
A Debner, M Krahn, V Hirvisalo
Northern Lights Deep Learning Conference, 46-52, 2024
2024
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
M Krahn, M Sasdelli, F Yang, V Golyanik, J Kannala, TJ Chin, T Birdal
arXiv preprint arXiv:2310.15128, 2023
2023
Social B (eye) as over Time: Dataset for Temporal Auditing of Image Tagging Algorithms
P Barlas, M Krahn, S Kleanthous, K Kyriakou, J Otterbacher
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