Dominic Phillips

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Markov Networks

Conditional Independence

Exact Inference

Structure Learning

Top Venues

Healthcare AI and COVID-19 Workshop

J. Comput. Chem.

Publications

Dominic Phillips, Charles Matthews, Benedict J. Leimkuhler
Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations. CoRR (2023)
Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura
Principled and Efficient Motif Finding for Structure Learning in Lifted Graphical Models. CoRR (2023)
Dominic Phillips, Talal Halabi, Mohammad Zulkernine
Autonomous and Security-Aware Dynamic Vehicular Platoon Formation. DSA (2023)
Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models. AAAI (2023)
Dominic Phillips, Hans-Christof Gasser, Sebesyén Kamp, Aleksander Palkowski, Lukasz Rabalski, Diego A. Oyarzún, Ajitha Rajan, Javier Antonio Alfaro
Generating Immune-aware SARS-CoV-2 Spike Proteins for Universal Vaccine Design. Healthcare AI and COVID-19 Workshop (2022)
Dominic Phillips, Marwa A. Elsayed, Mohammad Zulkernine
DeepGuard: A DeepBillboard Attack Detection Technique against Connected and Autonomous Vehicles. QRS Companion (2021)
Jaewoon Jung, Wataru Nishima, Marcus Daniels, Gavin Bascom, Chigusa Kobayashi, Adetokunbo Adedoyin, Michael E. Wall, Anna Lappala, Dominic Phillips, William Fischer, Chang-Shung Tung, Tamar Schlick, Yuji Sugita, Karissa Y. Sanbonmatsu
Scaling molecular dynamics beyond 100, 000 processor cores for large-scale biophysical simulations. J. Comput. Chem. 40 (21) (2019)