Heterogeneous Computing Systems for Complex Scientific Discovery Workflows
- 2021
- DATE 2021
Publications
35 results for Edward Pyzer-Knapp
Modelling Mobile Signal Strength by Combining Geospatial Big Data and Artificial Intelligence
- Paolo Fraccaro
- Matthew Benatan
- et al.
- 2020
- WBDC 2020
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks
- Clyde Fare
- Lukas Turcani
- et al.
- 2020
- Physical Chemistry Chemical Physics
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity
- 2020
- Scientific Reports
Evolving the materials genome: How machine learning is fueling the next generation of materials discovery
- Changwon Suh
- Clyde Fare
- et al.
- 2020
- Annu. Rev. Mater. Sci.
Privacy-preserving gaussian process regression - a modular approach to the application of homomorphic encryption
- Peter Fenner
- Edward O. Pyzer-Knapp
- 2020
- AAAI 2020
A fast parallel particle filter for shared memory systems
- Alessandro Varsi
- Jack Taylor
- et al.
- 2020
- IEEE SPL
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019
Distributional Actor-Critic for Risk-Sensitive Multi-Agent Reinforcement Learning
- Ngoc Lan Hoang
- Edward Pyzer-Knapp
- 2019
- NeurIPS 2019
Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force Fields
- James L McDonagh
- Ardita Shkurti
- et al.
- 2019
- J. Chem. Inf. Model.