Jan Kaiser

25 papers A* 1B 2C 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-driven feedback optimization for particle accelerator application.
Autom.
Christian Hespe, Jan Kaiser, Jannis O. Lübsen, Frank Mayet, Matthias Scholz, Annika Eichler
2025 J jnl
Effective integration of low-cost digital manufacturing systems: a reference architecture driven approach.
Int. J. Comput. Integr. Manuf.
Jan Kaiser, Gregory Hawkridge, Duncan C. McFarlane, Frank Schnicke, Karel Kruger
2024 J jnl
An agent-based approach for energy-efficient sensor networks in logistics.
Eng. Appl. Artif. Intell.
Jan Kaiser, Marco Pérez-Hernández, Victor Kaupe, Philip Kurrek, Duncan C. McFarlane
2024 J jnl
Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations.
CoRR
Jan Kaiser, Chenran Xu, Annika Eichler, Andrea Santamaría Garcia
2024 J jnl
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language.
CoRR
Jan Kaiser, Annika Eichler, Anne Lauscher
2024 J jnl
Towards Unlocking Insights from Logbooks Using AI.
CoRR
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
2023 J jnl
A review of reference architectures for digital manufacturing: Classification, applicability and open issues.
Comput. Ind.
Jan Kaiser, Duncan C. McFarlane, Gregory Hawkridge, Pascal André, Paulo Leitão
2023 J jnl
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning.
CoRR
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
2023 J jnl
Towards low-cost machine learning solutions for manufacturing SMEs.
AI Soc.
Jan Kaiser, Germán Terrazas, Duncan C. McFarlane, Lavindra de Silva
2022 J jnl
Assessing the Spectral Characteristics of Dye- and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging.
Sensors
Lukás Krauz, Petr Páta, Jan Kaiser
2022 C conf
Configurable Solutions for Low-Cost Digital Manufacturing: a Building Block Approach.
ETFA
Jan Kaiser, Zhengyang Ling, Gökçen Yilmaz, Duncan C. McFarlane, Gregory Hawkridge
2022 A* conf
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training.
ICML
Jan Kaiser, Oliver Stein, Annika Eichler
2021 J jnl
Benchmarking a Probabilistic Coprocessor.
CoRR
Jan Kaiser, Risi Jaiswal, Behtash Behin-Aein, Supriyo Datta
2021 B conf
Designing Recurrent Neural Networks for Monitoring Embedded Devices.
ETS
Fin Hendrik Bahnsen, Jan Kaiser, Görschwin Fey
2021 — conf
Designing Shoestring Solutions: An Approach for Designing Low-Cost Digital Solutions for Manufacturing.
SOHOMA
Gregory Hawkridge, Duncan C. McFarlane, Jan Kaiser, Lavindra de Silva, Germán Terrazas
2021 J jnl
Hardware Design for Autonomous Bayesian Networks.
Frontiers Comput. Neurosci.
Rafatul Faria, Jan Kaiser, Kerem Yunus Çamsari, Supriyo Datta
2021 J jnl
Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions.
CoRR
Jan Kaiser, William A. Borders, Kerem Yunus Çamsari, Shunsuke Fukami, Hideo Ohno, Supriyo Datta
2021 J jnl
Perspective: Probabilistic computing with p-bits.
CoRR
Jan Kaiser, Supriyo Datta
2021 — conf
Review and Classification of Digital Manufacturing Reference Architectures.
SOHOMA
Jan Kaiser, Duncan C. McFarlane, Gregory Hawkridge
2020 J jnl
Hardware Design for Autonomous Bayesian Networks.
CoRR
Rafatul Faria, Jan Kaiser, Kerem Yunus Çamsari, Supriyo Datta
2020 J jnl
Monte Carlo simulation and thermodynamic integration applied to protein charge transfer.
J. Comput. Chem.
Jan Kaiser, Mike Castellano, David Gnandt, Thorsten Koslowski
2020 J jnl
Probabilistic Circuits for Autonomous Learning: A Simulation Study.
Frontiers Comput. Neurosci.
Jan Kaiser, Rafatul Faria, Kerem Yunus Çamsari, Supriyo Datta
2019 — conf
Do We Need Real Data? - Testing and Training Algorithms with Artificial Geolocation Data.
GI-Jahrestagung
Jan Kaiser, Kai Bavendiek, Sibylle Schupp
2019 J jnl
Probabilistic Circuits for Autonomous Learning: A simulation study.
CoRR
Jan Kaiser, Rafatul Faria, Kerem Yunus Çamsari, Supriyo Datta
2016 B conf
Your Cloud in My Company: Modern Rights Management Services Revisited.
ARES
Martin Grothe, Christian Mainka, Paul Rösler, Johanna Jupke, Jan Kaiser, Jörg Schwenk