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ORCIDJesper Kristensen
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2020 – today
- 2024
[i4]Jesper Kristensen, David Wender, Carl Anthony:
Commodification of Compute. CoRR abs/2406.19261 (2024)- 2022
- [c6]Jesper Kristensen, Juan P. Madrigal-Cianci, Giorgos Felekis, Maria Liatsikou:
Cryptocurrency Price Prediction With Multi-task Multi-step Sequence-to-Sequence Modeling. Blockchain 2022: 53-60 - [c5]Giorgos Felekis, Jesper Kristensen:
$\lambda$ - Constant Function Markets Generalizing and Mixing Automated Market Makers. Blockchain 2022: 290-297 - [c4]Juan P. Madrigal-Cianci, Jesper Kristensen:
Time-efficient Decentralized Exchange of Everlasting Options with Exotic Payoff Functions. Blockchain 2022: 427-434 - [i3]Guillaume Lambert, Jesper Kristensen:
Panoptic: a perpetual, oracle-free options protocol. CoRR abs/2204.14232 (2022)
2010 – 2019
- 2019
- [j4]Son T. Mai
, Sihem Amer-Yahia, Ira Assent, Mathias Skovgaard Birk, Martin Storgaard Dieu, Jon Jacobsen, Jesper Kristensen:
Scalable Interactive Dynamic Graph Clustering on Multicore CPUs. IEEE Trans. Knowl. Data Eng. 31(7): 1239-1252 (2019) - [i2]Piyush Pandita, Jesper Kristensen, Liping Wang:
Towards Scalable Gaussian Process Modeling. CoRR abs/1907.11313 (2019) - [i1]Sayan Ghosh, Jesper Kristensen, Yiming Zhang, Waad Subber, Liping Wang:
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty. CoRR abs/1907.11739 (2019) - 2018
- [j3]The Hai Pham, Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo, Anh Le:
Interactive Exploration of Subspace Clusters on Multicore Processors. Trans. Large Scale Data Knowl. Centered Syst. 39: 169-199 (2018) - 2017
- [c3]Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo, Anh Le:
Interactive Exploration of Subspace Clusters for High Dimensional Data. DEXA (1) 2017: 327-342 - [c2]Son T. Mai, Martin Storgaard Dieu, Ira Assent, Jon Jacobsen, Jesper Kristensen, Mathias Skovgaard Birk:
Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs. ICDE 2017: 349-360 - 2016
- [j2]Manuel Aldegunde, Nicholas Zabaras, Jesper Kristensen:
Quantifying uncertainties in first-principles alloy thermodynamics using cluster expansions. J. Comput. Phys. 323: 17-44 (2016) - 2014
- [j1]Jesper Kristensen, Nicholas Zabaras:
Bayesian uncertainty quantification in the evaluation of alloy properties with the cluster expansion method. Comput. Phys. Commun. 185(11): 2885-2892 (2014) - 2012
- [c1]Philip Bille, Inge Li Gørtz, Jesper Kristensen:
Longest Common Extensions via Fingerprinting. LATA 2012: 119-130
Coauthor Index
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