Jan Kaiser

Orcid: 0000-0002-7264-5065

According to our database1, Jan Kaiser authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An agent-based approach for energy-efficient sensor networks in logistics.
Eng. Appl. Artif. Intell., January, 2024

Towards Unlocking Insights from Logbooks Using AI.
CoRR, 2024

Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language.
CoRR, 2024

Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations.
CoRR, 2024

2023
Towards low-cost machine learning solutions for manufacturing SMEs.
AI Soc., December, 2023

A review of reference architectures for digital manufacturing: Classification, applicability and open issues.
Comput. Ind., August, 2023

Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning.
CoRR, 2023

2022
Assessing the Spectral Characteristics of Dye- and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging.
Sensors, 2022

Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training.
Proceedings of the International Conference on Machine Learning, 2022

Configurable Solutions for Low-Cost Digital Manufacturing: a Building Block Approach.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021
Hardware Design for Autonomous Bayesian Networks.
Frontiers Comput. Neurosci., 2021

Benchmarking a Probabilistic Coprocessor.
CoRR, 2021

Perspective: Probabilistic computing with p-bits.
CoRR, 2021

Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions.
CoRR, 2021

Review and Classification of Digital Manufacturing Reference Architectures.
Proceedings of the Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future, 2021

Designing Shoestring Solutions: An Approach for Designing Low-Cost Digital Solutions for Manufacturing.
Proceedings of the Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future, 2021

Designing Recurrent Neural Networks for Monitoring Embedded Devices.
Proceedings of the 26th IEEE European Test Symposium, 2021

2020
Monte Carlo simulation and thermodynamic integration applied to protein charge transfer.
J. Comput. Chem., 2020

Probabilistic Circuits for Autonomous Learning: A Simulation Study.
Frontiers Comput. Neurosci., 2020

2019
Do We Need Real Data? - Testing and Training Algorithms with Artificial Geolocation Data.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2016
Your Cloud in My Company: Modern Rights Management Services Revisited.
Proceedings of the 11th International Conference on Availability, Reliability and Security, 2016


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