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Dominic Masters
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2020 – today
- 2024
- [c3]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, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024 - 2023
- [j1]Dominic Masters, Josef Dean, Kerstin Kläser, Zhiyi Li, Samuel Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini:
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W. Fitzgibbon, Dominic Masters:
Generating QM1B with PySCFIPU. NeurIPS 2023 - [i9]Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini:
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction. CoRR abs/2302.02947 (2023) - [i8]Zhiyi Li, Douglas Orr, Valeriu Ohan, Godfrey Da Costa, Tom Murray, Adam Sanders, Deniz Beker, Dominic Masters:
PopSparse: Accelerated block sparse matrix multiplication on IPU. CoRR abs/2303.16999 (2023) - [i7]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, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR abs/2310.04292 (2023) - [i6]Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W. Fitzgibbon, Dominic Masters:
Generating QM1B with PySCFIPU. CoRR abs/2311.01135 (2023) - 2022
- [i5]Badreddine Noune, Philip Jones, Daniel Justus, Dominic Masters, Carlo Luschi:
8-bit Numerical Formats for Deep Neural Networks. CoRR abs/2206.02915 (2022) - [i4]Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Ladislav Rampásek, Dominique Beaini:
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction. CoRR abs/2212.02229 (2022) - 2021
- [c1]Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi:
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence. NeurIPS 2021: 16990-17006 - [i3]Dominic Masters, Antoine Labatie, Zach Eaton-Rosen, Carlo Luschi:
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training. CoRR abs/2106.03640 (2021) - [i2]Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi:
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence. CoRR abs/2106.03743 (2021)
2010 – 2019
- 2018
- [i1]Dominic Masters, Carlo Luschi:
Revisiting Small Batch Training for Deep Neural Networks. CoRR abs/1804.07612 (2018)
Coauthor Index
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