Jan Kaiser

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Simulation Study

Bayesian Networks

Top Venues

Frontiers Comput. Neurosci.

Publications

Jan Kaiser, Annika Eichler, Anne Lauscher
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language. CoRR (2024)
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
Towards Unlocking Insights from Logbooks Using AI. CoRR (2024)
Jan Kaiser, Chenran Xu, Annika Eichler, Andrea Santamaría Garcia
Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations. CoRR (2024)
Jan Kaiser, Marco Pérez-Hernández, Victor Kaupe, Philip Kurrek, Duncan C. McFarlane
An agent-based approach for energy-efficient sensor networks in logistics. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Jan Kaiser, Duncan C. McFarlane, Gregory Hawkridge, Pascal André, Paulo Leitão
A review of reference architectures for digital manufacturing: Classification, applicability and open issues. Comput. Ind. 149 (2023)
Jan Kaiser, Germán Terrazas, Duncan C. McFarlane, Lavindra de Silva
Towards low-cost machine learning solutions for manufacturing SMEs. AI Soc. 38 (6) (2023)
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
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning. CoRR (2023)
Jan Kaiser, Oliver Stein, Annika Eichler
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training. ICML (2022)
Lukás Krauz, Petr Páta, Jan Kaiser
Assessing the Spectral Characteristics of Dye- and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging. Sensors 22 (2) (2022)
Jan Kaiser, Zhengyang Ling, Gökçen Yilmaz, Duncan C. McFarlane, Gregory Hawkridge
Configurable Solutions for Low-Cost Digital Manufacturing: a Building Block Approach. ETFA (2022)
Rafatul Faria, Jan Kaiser, Kerem Yunus Camsari, Supriyo Datta
Hardware Design for Autonomous Bayesian Networks. Frontiers Comput. Neurosci. 15 (2021)
Jan Kaiser, Duncan C. McFarlane, Gregory Hawkridge
Review and Classification of Digital Manufacturing Reference Architectures. SOHOMA (2021)
Gregory Hawkridge, Duncan C. McFarlane, Jan Kaiser, Lavindra de Silva, Germán Terrazas
Designing Shoestring Solutions: An Approach for Designing Low-Cost Digital Solutions for Manufacturing. SOHOMA (2021)
Jan Kaiser, Risi Jaiswal, Behtash Behin-Aein, Supriyo Datta
Benchmarking a Probabilistic Coprocessor. CoRR (2021)
Jan Kaiser, Supriyo Datta
Perspective: Probabilistic computing with p-bits. CoRR (2021)
Jan Kaiser, William A. Borders, Kerem Yunus Camsari, Shunsuke Fukami, Hideo Ohno, Supriyo Datta
Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions. CoRR (2021)
Fin Hendrik Bahnsen, Jan Kaiser, Görschwin Fey
Designing Recurrent Neural Networks for Monitoring Embedded Devices. ETS (2021)
Jan Kaiser, Mike Castellano, David Gnandt, Thorsten Koslowski
Monte Carlo simulation and thermodynamic integration applied to protein charge transfer. J. Comput. Chem. 41 (11) (2020)
Rafatul Faria, Jan Kaiser, Kerem Yunus Camsari, Supriyo Datta
Hardware Design for Autonomous Bayesian Networks. CoRR (2020)
Jan Kaiser, Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta
Probabilistic Circuits for Autonomous Learning: A Simulation Study. Frontiers Comput. Neurosci. 14 (2020)
Jan Kaiser, Kai Bavendiek, Sibylle Schupp
Do We Need Real Data? - Testing and Training Algorithms with Artificial Geolocation Data. GI-Jahrestagung (2019)
Jan Kaiser, Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta
Probabilistic Circuits for Autonomous Learning: A simulation study. CoRR (2019)
Martin Grothe, Christian Mainka, Paul Rösler, Johanna Jupke, Jan Kaiser, Jörg Schwenk
Your Cloud in My Company: Modern Rights Management Services Revisited. ARES (2016)