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Jan Kaiser
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j7]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): 107198 (2024) - [i9]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 abs/2401.05815 (2024) - [i8]Jan Kaiser, Annika Eichler, Anne Lauscher:
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language. CoRR abs/2405.08888 (2024) - [i7]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 abs/2406.12881 (2024) - 2023
- [j6]Jan Kaiser
, Germán Terrazas, Duncan C. McFarlane, Lavindra de Silva:
Towards low-cost machine learning solutions for manufacturing SMEs. AI Soc. 38(6): 2659-2665 (2023) - [j5]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: 103923 (2023) - [i6]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 abs/2306.03739 (2023) - 2022
- [j4]Lukás Krauz
, Petr Páta
, Jan Kaiser:
Assessing the Spectral Characteristics of Dye- and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging. Sensors 22(2): 603 (2022) - [c7]Jan Kaiser
, Zhengyang Ling, Gökçen Yilmaz, Duncan C. McFarlane, Gregory Hawkridge:
Configurable Solutions for Low-Cost Digital Manufacturing: a Building Block Approach. ETFA 2022: 1-9 - [c6]Jan Kaiser, Oliver Stein, Annika Eichler:
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training. ICML 2022: 10575-10585 - 2021
- [j3]Rafatul Faria, Jan Kaiser
, Kerem Yunus Camsari
, Supriyo Datta:
Hardware Design for Autonomous Bayesian Networks. Frontiers Comput. Neurosci. 15: 584797 (2021) - [c5]Fin Hendrik Bahnsen, Jan Kaiser, Görschwin Fey
:
Designing Recurrent Neural Networks for Monitoring Embedded Devices. ETS 2021: 1-4 - [c4]Jan Kaiser
, Duncan C. McFarlane, Gregory Hawkridge:
Review and Classification of Digital Manufacturing Reference Architectures. SOHOMA 2021: 231-247 - [c3]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: 249-262 - [i5]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 abs/2102.05137 (2021) - [i4]Jan Kaiser, Supriyo Datta:
Perspective: Probabilistic computing with p-bits. CoRR abs/2108.09836 (2021) - [i3]Jan Kaiser, Risi Jaiswal, Behtash Behin-Aein, Supriyo Datta:
Benchmarking a Probabilistic Coprocessor. CoRR abs/2109.14801 (2021) - 2020
- [j2]Jan Kaiser
, Rafatul Faria, Kerem Yunus Camsari
, Supriyo Datta:
Probabilistic Circuits for Autonomous Learning: A Simulation Study. Frontiers Comput. Neurosci. 14: 14 (2020) - [j1]Jan Kaiser
, Mike Castellano
, David Gnandt
, Thorsten Koslowski
:
Monte Carlo simulation and thermodynamic integration applied to protein charge transfer. J. Comput. Chem. 41(11): 1105-1115 (2020) - [i2]Rafatul Faria, Jan Kaiser
, Kerem Yunus Camsari, Supriyo Datta:
Hardware Design for Autonomous Bayesian Networks. CoRR abs/2003.01767 (2020)
2010 – 2019
- 2019
- [c2]Jan Kaiser, Kai Bavendiek, Sibylle Schupp:
Do We Need Real Data? - Testing and Training Algorithms with Artificial Geolocation Data. GI-Jahrestagung 2019: 205-218 - [i1]Jan Kaiser, Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta:
Probabilistic Circuits for Autonomous Learning: A simulation study. CoRR abs/1910.06288 (2019) - 2016
- [c1]Martin Grothe, Christian Mainka
, Paul Rösler
, Johanna Jupke, Jan Kaiser, Jörg Schwenk:
Your Cloud in My Company: Modern Rights Management Services Revisited. ARES 2016: 217-222
Coauthor Index
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