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Projected Stochastic Gradient Descent with Quantum Annealed Binary
  Gradients

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients

23 October 2023
Maximilian Krahn
Michele Sasdelli
Fengyi Yang
Vladislav Golyanik
Juho Kannala
Tat-Jun Chin
Tolga Birdal
    MQ
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Papers citing "Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients"

4 / 4 papers shown
Title
Outlier-Robust Multi-Model Fitting on Quantum Annealers
Outlier-Robust Multi-Model Fitting on Quantum Annealers
Saurabh Pandey
Luca Magri
F. Arrigoni
Vladislav Golyanik
29
0
0
18 Apr 2025
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum
  Computing
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
Jan-Nico Zaech
Martin Danelljan
Tolga Birdal
Luc Van Gool
13
1
0
18 Oct 2023
Multi-objective QUBO Solver: Bi-objective Quadratic Assignment
Multi-objective QUBO Solver: Bi-objective Quadratic Assignment
M. Ayodele
Richard Allmendinger
Manuel López-Ibánez
Matthieu Parizy
17
13
0
26 May 2022
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
1