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Charlie Blake
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2020 – today
- 2024
- [c3]Luka Ribar, Ivan Chelombiev, Luke Hudlass-Galley, Charlie Blake, Carlo Luschi, Douglas Orr:
SparQ Attention: Bandwidth-Efficient LLM Inference. ICML 2024 - [i6]Charlie Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Y. Prince, Björn Deiseroth, Andrés Felipe Cruz-Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr:
u-μP: The Unit-Scaled Maximal Update Parametrization. CoRR abs/2407.17465 (2024) - 2023
- [c2]Charlie Blake, Douglas Orr, Carlo Luschi:
Unit Scaling: Out-of-the-Box Low-Precision Training. ICML 2023: 2548-2576 - [i5]Charlie Blake, Douglas Orr, Carlo Luschi:
Unit Scaling: Out-of-the-Box Low-Precision Training. CoRR abs/2303.11257 (2023) - [i4]Sergio P. Perez, Yan Zhang, James Briggs, Charlie Blake, Josh Levy-Kramer, Paul Balanca, Carlo Luschi, Stephen Barlow, Andrew William Fitzgibbon:
Training and inference of large language models using 8-bit floating point. CoRR abs/2309.17224 (2023) - [i3]Luka Ribar, Ivan Chelombiev, Luke Hudlass-Galley, Charlie Blake, Carlo Luschi, Douglas Orr:
SparQ Attention: Bandwidth-Efficient LLM Inference. CoRR abs/2312.04985 (2023) - 2021
- [c1]Charlie Blake, Vitaly Kurin, Maximilian Igl, Shimon Whiteson:
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing. NeurIPS 2021: 23983-23992 - [i2]Charlie Blake, Vitaly Kurin, Maximilian Igl, Shimon Whiteson:
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing. CoRR abs/2103.01009 (2021)
2010 – 2019
- 2019
- [i1]Charlie Blake, Ian P. Gent:
The Winnability of Klondike and Many Other Single-Player Card Games. CoRR abs/1906.12314 (2019)
Coauthor Index
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