Edward Pyzer-Knapp

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 8

Top Topics

Gaussian Process

Top Venues

IEEE Signal Process. Lett.

J. Comput. Sci.

Publications

Robert Allison, Anthony Stephenson, Samuel F, Edward Pyzer-Knapp
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression. CoRR (2023)
Anthony Stephenson, Robert Allison, Edward Pyzer-Knapp
Provably Reliable Large-Scale Sampling from Gaussian Processes. CoRR (2022)
Aikaterini Chatzopoulou, Ángel F. García-Fernández, Edward Pyzer-Knapp, Simon Maskell
SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure. FUSION (2021)
Christoph Hagleitner, Dionysios Diamantopoulos, Burkhard Ringlein, Constantinos Evangelinos, Charles R. Johns, Rong N. Chang, Bruce D'Amora, James A. Kahle, James C. Sexton, Michael Johnston, Edward Pyzer-Knapp, Chris Ward
Heterogeneous Computing Systems for Complex Scientific Discovery Workflows. DATE (2021)
Paolo Fraccaro, Matt Benatan, Katharina Reusch, Clyde Fare, Blair Edwards, Edward Pyzer-Knapp
Modelling Mobile Signal Strength by Combining Geospatial Big Data and Artificial Intelligence. ICVISP (2020)
Alessandro Varsi, Jack Taylor, Lykourgos Kekempanos, Edward Pyzer-Knapp, Simon Maskell
A Fast Parallel Particle Filter for Shared Memory Systems. IEEE Signal Process. Lett. 27 (2020)
Peter Fenner, Edward Pyzer-Knapp
Privacy-Preserving Gaussian Process Regression - A Modular Approach to the Application of Homomorphic Encryption. AAAI (2020)
Hans Peter Lüthi, Stefan Heinen, Gisbert Schneider, Andreas Glöss, Martin P. Brändle, Rollin A. King, Edward Pyzer-Knapp, Fahhad H. Alharbi, Sabre Kais
The quantum chemical search for novel materials and the issue of data processing: The InfoMol project. J. Comput. Sci. 15 (2016)