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20132026
most citedA Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer

191 citations

Showing 2022Show all

6 papers · 1 filter

cs.LG2022★ 10 cited

Non-Convergence and Limit Cycles in the Adam optimizer

Sebastian Bock, Martin Georg Weiß

One of the most popular training algorithms for deep neural networks is the Adaptive Moment Estimation (Adam) introduced by Kingma and Ba. Despite its success in many applications…

physics.soc-ph2022★ 82 cited

PyPSA-Earth. A New Global Open Energy System Optimization Model Demonstrated in Africa

Maximilian Parzen, Hazem Abdel-Khalek, Ekaterina Fedorova +9

Macro-energy system modelling is used by decision-makers to steer the global energy transition toward an affordable, sustainable and reliable future. Closed-source models are the c…

cs.AR2022★ 6 cited

Static Hardware Partitioning on RISC-V -- Shortcomings, Limitations, and Prospects

Ralf Ramsauer, Stefan Huber, Konrad Schwarz +2

On embedded processors that are increasingly equipped with multiple CPU cores, static hardware partitioning is an established means of consolidating and isolating workloads onto si…

math.NA2022★ 6 cited

Translation invariant diagonal frame decomposition of inverse problems and their regularization

Simon Göppel, Jürgen Frikel, Markus Haltmeier

Solving inverse problems is central to a variety of important applications, such as biomedical image reconstruction and non-destructive testing. These problems are characterized by…

cs.DB2022★ 2 cited

Conjunctive Queries with Free Access Patterns under Updates

Ahmet Kara, Milos Nikolic, Dan Olteanu +1

We study the problem of answering conjunctive queries with free access patterns (CQAPs) under updates. A free access pattern is a partition of the free variables of the query into…

quant-ph2022★ 29 cited

Uncovering Instabilities in Variational-Quantum Deep Q-Networks

Maja Franz, Lucas Wolf, Maniraman Periyasamy +5

Deep Reinforcement Learning (RL) has considerably advanced over the past decade. At the same time, state-of-the-art RL algorithms require a large computational budget in terms of t…