Jesper Kristensen

According to our database, Jesper Kristensen authored at least 14 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Commodification of Compute.

Jesper Kristensen, David Wender, Carl Anthony

CoRR, 2024

2022

Panoptic: a perpetual, oracle-free options protocol.

Guillaume Lambert, Jesper Kristensen

CoRR, 2022

Time-efficient Decentralized Exchange of Everlasting Options with Exotic Payoff Functions.

Juan P. Madrigal-Cianci, Jesper Kristensen

Proceedings of the IEEE International Conference on Blockchain, 2022

Cryptocurrency Price Prediction With Multi-task Multi-step Sequence-to-Sequence Modeling.

Jesper Kristensen, Juan P. Madrigal-Cianci, Giorgos Felekis, Maria Liatsikou

Proceedings of the IEEE International Conference on Blockchain, 2022

$\lambda$ - Constant Function Markets Generalizing and Mixing Automated Market Makers.

Giorgos Felekis, Jesper Kristensen

Proceedings of the IEEE International Conference on Blockchain, 2022

2019

Scalable Interactive Dynamic Graph Clustering on Multicore CPUs.

Son T. Mai, Sihem Amer-Yahia, Ira Assent, Mathias Skovgaard Birk, Martin Storgaard Dieu, Jon Jacobsen, Jesper Kristensen

IEEE Trans. Knowl. Data Eng., 2019

A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty.

Sayan Ghosh, Jesper Kristensen, Yiming Zhang, Waad Subber, Liping Wang

CoRR, 2019

Towards Scalable Gaussian Process Modeling.

Piyush Pandita, Jesper Kristensen, Liping Wang

CoRR, 2019

2018

Interactive Exploration of Subspace Clusters on Multicore Processors.

The Hai Pham, Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo, Anh Le

Trans. Large Scale Data Knowl. Centered Syst., 2018

2017

Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs.

Son T. Mai, Martin Storgaard Dieu, Ira Assent, Jon Jacobsen, Jesper Kristensen, Mathias Skovgaard Birk

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Interactive Exploration of Subspace Clusters for High Dimensional Data.

Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo, Anh Le

Proceedings of the Database and Expert Systems Applications, 2017

2016

Quantifying uncertainties in first-principles alloy thermodynamics using cluster expansions.

Manuel Aldegunde, Nicholas Zabaras, Jesper Kristensen

J. Comput. Phys., 2016

2014

Bayesian uncertainty quantification in the evaluation of alloy properties with the cluster expansion method.

Jesper Kristensen, Nicholas Zabaras

Comput. Phys. Commun., 2014

2012

Longest Common Extensions via Fingerprinting.

Philip Bille, Inge Li Gørtz, Jesper Kristensen

Proceedings of the Language and Automata Theory and Applications, 2012