Shane Jackson

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Back Propagation

Internal Representations

Topological Features

Top Venues

J. Chem. Inf. Model.

Publications

Alex Hagen, Shane Jackson
Synthesis parameter effect detection using quantitative representations and high dimensional distribution distances. CoRR (2023)
Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge
Do neural networks trained with topological features learn different internal representations? NeurReps (2022)
Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge
Do Neural Networks Trained with Topological Features Learn Different Internal Representations? CoRR (2022)
Beibei Wang, Shane Jackson, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta, Rajiv K. Kalia, Mark Stevens
Neural Network for Principle of Least Action. J. Chem. Inf. Model. 62 (14) (2022)
Alex Hagen, Shane Jackson, James Kahn, Jan Strube, Isabel Haide, Karl Pazdernik, Connor Hainje
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance. CoRR (2021)
Taufeq Mohammed Razakh, Beibei Wang, Shane Jackson, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta
PND: Physics-informed neural-network software for molecular dynamics applications. SoftwareX 15 (2021)
Taufeq Mohammed Razakh, Beibei Wang, Shane Jackson, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta
Physics-informed Neural-Network Software for Molecular Dynamics Applications. CoRR (2020)