Jan Kaiser

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An agent-based approach for energy-efficient sensor networks in logistics.

Jan Kaiser, Marco Pérez-Hernández, Victor Kaupe, Philip Kurrek, Duncan C. McFarlane

Eng. Appl. Artif. Intell., January, 2024

Towards Unlocking Insights from Logbooks Using AI.

Antonin Sulc, Alex Bien, Annika Eichler, Daniel Ratner, Florian Rehm, Frank Mayet, Gregor Hartmann, Hayden Hoschouer, Henrik Tünnermann, Jan Kaiser, Jason St. John, Jennefer Maldonado, Kyle J. Hazelwood, Raimund Kammering, Thorsten Hellert, Tim Wilksen, Verena Kain, Wan-Lin Hu

CoRR, 2024

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

Jan Kaiser, Annika Eichler, Anne Lauscher

CoRR, 2024

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

Jan Kaiser, Chenran Xu, Annika Eichler, Andrea Santamaría Garcia

CoRR, 2024

2023

Towards low-cost machine learning solutions for manufacturing SMEs.

Jan Kaiser, Germán Terrazas, Duncan C. McFarlane, Lavindra de Silva

AI Soc., December, 2023

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

Jan Kaiser, Duncan C. McFarlane, Gregory Hawkridge, Pascal André, Paulo Leitão

Comput. Ind., August, 2023

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

Jan Kaiser, Chenran Xu, Annika Eichler, Andrea Santamaría Garcia, Oliver Stein, Erik Bründermann, Willi Kuropka, Hannes Dinter, Frank Mayet, Thomas Vinatier, Florian Burkart, Holger Schlarb

CoRR, 2023

2022

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

Lukás Krauz, Petr Páta, Jan Kaiser

Sensors, 2022

Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training.

Jan Kaiser, Oliver Stein, Annika Eichler

Proceedings of the International Conference on Machine Learning, 2022

Configurable Solutions for Low-Cost Digital Manufacturing: a Building Block Approach.

Jan Kaiser, Zhengyang Ling, Gökçen Yilmaz, Duncan C. McFarlane, Gregory Hawkridge

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021

Hardware Design for Autonomous Bayesian Networks.

Rafatul Faria, Jan Kaiser, Kerem Yunus Çamsari, Supriyo Datta

Frontiers Comput. Neurosci., 2021

Benchmarking a Probabilistic Coprocessor.

Jan Kaiser, Risi Jaiswal, Behtash Behin-Aein, Supriyo Datta

CoRR, 2021

Perspective: Probabilistic computing with p-bits.

Jan Kaiser, Supriyo Datta

CoRR, 2021

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

Jan Kaiser, William A. Borders, Kerem Yunus Çamsari, Shunsuke Fukami, Hideo Ohno, Supriyo Datta

CoRR, 2021

Review and Classification of Digital Manufacturing Reference Architectures.

Jan Kaiser, Duncan C. McFarlane, Gregory Hawkridge

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.

Gregory Hawkridge, Duncan C. McFarlane, Jan Kaiser, Lavindra de Silva, Germán Terrazas

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.

Fin Hendrik Bahnsen, Jan Kaiser, Görschwin Fey

Proceedings of the 26th IEEE European Test Symposium, 2021

2020

Monte Carlo simulation and thermodynamic integration applied to protein charge transfer.

Jan Kaiser, Mike Castellano, David Gnandt, Thorsten Koslowski

J. Comput. Chem., 2020

Probabilistic Circuits for Autonomous Learning: A Simulation Study.

Jan Kaiser, Rafatul Faria, Kerem Yunus Çamsari, Supriyo Datta

Frontiers Comput. Neurosci., 2020

2019

Do We Need Real Data? - Testing and Training Algorithms with Artificial Geolocation Data.

Jan Kaiser, Kai Bavendiek, Sibylle Schupp

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.

Martin Grothe, Christian Mainka, Paul Rösler, Johanna Jupke, Jan Kaiser, Jörg Schwenk

Proceedings of the 11th International Conference on Availability, Reliability and Security, 2016