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Jan Kaiser
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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
Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations. CoRR abs/2401.05815 (2024) - [i8]Jan Kaiser
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
Towards low-cost machine learning solutions for manufacturing SMEs. AI Soc. 38(6): 2659-2665 (2023) - [j5]Jan Kaiser
A review of reference architectures for digital manufacturing: Classification, applicability and open issues. Comput. Ind. 149: 103923 (2023) - [i6]Jan Kaiser
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
Assessing the Spectral Characteristics of Dye- and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging. Sensors 22(2): 603 (2022) - [c7]Jan Kaiser
Configurable Solutions for Low-Cost Digital Manufacturing: a Building Block Approach. ETFA 2022: 1-9 - [c6]Jan Kaiser
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training. ICML 2022: 10575-10585 - 2021
- [j3]Rafatul Faria, Jan Kaiser
Hardware Design for Autonomous Bayesian Networks. Frontiers Comput. Neurosci. 15: 584797 (2021) - [c5]Fin Hendrik Bahnsen, Jan Kaiser
Designing Recurrent Neural Networks for Monitoring Embedded Devices. ETS 2021: 1-4 - [c4]Jan Kaiser
Review and Classification of Digital Manufacturing Reference Architectures. SOHOMA 2021: 231-247 - [c3]Gregory Hawkridge, Duncan C. McFarlane, Jan Kaiser
Designing Shoestring Solutions: An Approach for Designing Low-Cost Digital Solutions for Manufacturing. SOHOMA 2021: 249-262 - [i5]Jan Kaiser
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
Probabilistic Circuits for Autonomous Learning: A Simulation Study. Frontiers Comput. Neurosci. 14: 14 (2020) - [j1]Jan Kaiser
Monte Carlo simulation and thermodynamic integration applied to protein charge transfer. J. Comput. Chem. 41(11): 1105-1115 (2020) - [i2]Rafatul Faria, Jan Kaiser
Hardware Design for Autonomous Bayesian Networks. CoRR abs/2003.01767 (2020)
2010 – 2019
- 2019
- [c2]Jan Kaiser
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 Çamsari, Supriyo Datta:
Probabilistic Circuits for Autonomous Learning: A simulation study. CoRR abs/1910.06288 (2019) - 2016
- [c1]Martin Grothe, Christian Mainka
Your Cloud in My Company: Modern Rights Management Services Revisited. ARES 2016: 217-222
Coauthor Index
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