Maximilian Krahn

11 papers A* 2A 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Heat Kernel Goes Topological.
CoRR
Maximilian Krahn, Vikas Garg
2024 A conf
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.
BMVC
Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2024 — conf
Scheduling conditional task graphs with deep reinforcement learning.
NLDL
Anton Debner, Maximilian Krahn, Vesa Hirvisalo
2023 J jnl
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.
CoRR
Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2023 A* conf
QuAnt: Quantum Annealing with Learnt Couplings.
ICLR
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
2023 A* conf
TIDE: Time Derivative Diffusion for Deep Learning on Graphs.
ICML
Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov
2022 J jnl
QuAnt: Quantum Annealing with Learnt Couplings.
CoRR
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
2022 A conf
Shifting Our Awareness, Taking Back Tags: Temporal Changes in Computer Vision Services' Social Behaviors.
ICWSM
Pinar Barlas, Maximilian Krahn, Styliani Kleanthous, Kyriakos Kyriakou, Jahna Otterbacher
2022 J jnl
TIDE: Time Derivative Diffusion for Deep Learning on Graphs.
CoRR
Maximilian Krahn, Maysam Behmanesh, Maks Ovsjanikov
2021 — conf
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations.
3DV
Maximilian Krahn, Florian Bernard, Vladislav Golyanik
2021 J jnl
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations.
CoRR
Maximilian Krahn, Florian Bernard, Vladislav Golyanik