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2020 – today
- 2024
[i3]Taylor Applebaum, Sam Blackwell, Alex Davies, Thomas Edlich, András Juhász, Marc Lackenby, Nenad Tomasev, Daniel Zheng:
The unknotting number, hard unknot diagrams, and reinforcement learning. CoRR abs/2409.09032 (2024)- 2023
- [i2]Johannes Bausch, Andrew W. Senior, Francisco J. H. Heras, Thomas Edlich, Alex Davies, Michael Newman, Cody Jones, Kevin J. Satzinger, Murphy Yuezhen Niu, Sam Blackwell, George Holland, Dvir Kafri, Juan Atalaya, Craig Gidney, Demis Hassabis, Sergio Boixo, Hartmut Neven, Pushmeet Kohli:
Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network. CoRR abs/2310.05900 (2023) - 2020
- [i1]Benedek Fabian, Thomas Edlich, Héléna Gaspar, Marwin H. S. Segler, Joshua Meyers, Marco Fiscato, Mohamed Ahmed:
Molecular representation learning with language models and domain-relevant auxiliary tasks. CoRR abs/2011.13230 (2020)
2010 – 2019
- 2011
- [c2]Thomas Edlich, Thomas Hunziker, Ibrahim A. Shah, Dirk Dahlhaus:
Optimal Recursive Spatial Multiplexing Strategies for Slowly Time-Varying MIMO Channels. ICC 2011: 1-5 - 2010
- [c1]Thomas Edlich, Thomas Hunziker, Dirk Dahlhaus:
Recursive Spatial Multiplexing: Improving Unitary Precoding with Outdated Channel State Information. VTC Spring 2010: 1-5
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