Dominic Masters

Joined

May 2021

Names

Dominic Masters (Preferred)

Emails

****@graphcore.ai (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Researcher

Google DeepMind (google.com)

2023 – 2024

Research Scientist

Graphcore (graphcore.ai)

2017 – 2023

PhD student

University of Bristol (bristol.ac.uk)

2013 – 2017

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

PopSparse: Accelerated block sparse matrix multiplication on IPU
Zhiyi Li, Douglas Orr, Valeriu Ohan, Godfrey Da Costa, Tom Murray, Adam Sanders, Deniz Beker, Dominic Masters
- ICLR 2023 Workshop SNN
- Readers: Everyone
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michał Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum et al. (14 additional authors not shown)
- ICLR 2024 poster
- Readers: Everyone
Generating QM1B with PySCF$_{\text{IPU}}$
Alexander Mathiasen, Hatem Helal, Kerstin Klaeser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W Fitzgibbon, Dominic Masters
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Repurposing Density Functional Theory to Suit Deep Learning
Alexander Mathiasen, Hatem Helal, Paul Balanca, Kerstin Klaeser, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W Fitzgibbon, Dominic Masters
- SynS & ML @ ICML2023
- Readers: Everyone
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
Dominic Masters, Josef Dean, Kerstin Klaeser, Zhiyi Li, Samuel Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W Fitzgibbon, Shenyang Huang, Ladislav Rampášek, Dominique Beaini
- Accepted by TMLR
- Readers: Everyone
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone

Co-Authors

View all 47 co-authors

Dominic Masters

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

PopSparse: Accelerated block sparse matrix multiplication on IPU

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets

Generating QM1B with PySCF$_{\text{IPU}}$

Repurposing Density Functional Theory to Suit Deep Learning

GPS++: Reviving the Art of Message Passing for Molecular Property Prediction

Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence

Co-Authors