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ORCIDDominic Phillips
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2020 – today
- 2025
[j2]Dominic Phillips, Flaviu Cipcigan:
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets. Trans. Mach. Learn. Res. 2025 (2025)- [i5]Eugen Bronasco, Benedict J. Leimkuhler, Dominic Phillips, Gilles Vilmart:
Efficient Langevin sampling with position-dependent diffusion. CoRR abs/2501.02943 (2025) - 2024
- [i4]Dominic Phillips, Flaviu Cipcigan:
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets. CoRR abs/2408.15905 (2024) - [i3]Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura:
Efficiently Learning Probabilistic Logical Models by Cheaply Ranking Mined Rules. CoRR abs/2409.16238 (2024) - 2023
- [c4]Jonathan Feldstein, Dominic Phillips
, Efthymia Tsamoura:
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models. AAAI 2023: 12205-12215 - [c3]Dominic Phillips, Talal Halabi, Mohammad Zulkernine:
Autonomous and Security-Aware Dynamic Vehicular Platoon Formation. DSA 2023: 770-781 - [i2]Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura:
Principled and Efficient Motif Finding for Structure Learning in Lifted Graphical Models. CoRR abs/2302.04599 (2023) - [i1]Dominic Phillips, Charles Matthews, Benedict J. Leimkuhler:
Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations. CoRR abs/2307.02913 (2023) - 2022
- [c2]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: 100-116 - 2021
- [c1]Dominic Phillips, Marwa A. Elsayed, Mohammad Zulkernine:
DeepGuard: A DeepBillboard Attack Detection Technique against Connected and Autonomous Vehicles. QRS Companion 2021: 528-535
2010 – 2019
- 2019
- [j1]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): 1919-1930 (2019)
Coauthor Index
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