Research output per year
Research output per year
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Dive into the research topics where K. Batselier is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Position: Tensor Networks are a Valuable Asset for Green AI
Memmel, E., Menzen, C., Schuurmans, J., Wesel, F. & Batselier, K., 2024, In: Proceedings of Machine Learning Research. 235, p. 35340-35353 14 p.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile9 Downloads (Pure) -
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
Wesel, F. & Batselier, K., 2024, In: Proceedings of Machine Learning Research. 238, p. 1261-1269 16 p.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile51 Downloads (Pure) -
A Khatri-Rao product tensor network for efficient symmetric MIMO Volterra identification
Batselier, K., 2023, In: IFAC-PapersOnLine. 56, 2, p. 7282-7287 6 p.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile24 Downloads (Pure) -
Bayesian Framework for a MIMO Volterra Tensor Network
Memmel, E., Menzen, C. & Batselier, K., 2023, In: IFAC-PapersOnLine. 56, 2, p. 7294-7299 6 p.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile44 Downloads (Pure) -
Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM
De Rooij, S. J. S., Batselier, K. & Hunyadi, B., 2023, ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. IEEE, 5 p. (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile18 Downloads (Pure)
Datasets
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Data files needed to run reactive Pluto notebook to train image classifier
Batselier, K. (Creator), TU Delft - 4TU.ResearchData, 17 Jun 2024
DOI: 10.4121/9fb86a9d-99c4-4647-8242-9d926574d904
Dataset/Software: Dataset
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Data to reproduce experiments in research article "MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA"
Batselier, K. (Creator), TU Delft - 4TU.ResearchData, 17 Jul 2020
DOI: 10.4121/UUID:CB37D1B8-A505-46EB-8C42-FE819429624B
Dataset/Software: Dataset