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Publications associées (32)
Hybrid ground-state quantum algorithms based on neural Schrödinger forging
Giuseppe Carleo, Sofia Vallecorsa
Entanglement forging based variational algorithms leverage the bipartition of quantum systems for addressing ground-state problems. The primary limitation of these approaches lies in the exponential summation required over the numerous potential basis stat ...
Amer Physical Soc2024SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION
Diffusion-based generative methods have proven effective in modeling trajectories with offline datasets. However, they often face computational challenges and can falter in generalization, especially in capturing temporal abstractions for long- horizon tas ...
2024Consensus Control for Decentralized Deep Learning
Martin Jaggi, Sebastian Urban Stich, Tao Lin, Anastasiia Koloskova, Lingjing Kong
Decentralized training of deep learning models enables on-device learning over networks, as well as efficient scaling to large compute clusters. Experiments in earlier works reveal that, even in a data-center setup, decentralized training often suffers fro ...
JMLR-JOURNAL MACHINE LEARNING RESEARCH2021The organisation of science: topics, incentives and funding.
Ever since the links between the development of new technologies and economic growth became evident, researchers have attempted to study how the creation of knowledge fosters progress. If pushing the frontier of knowledge has an impact on progress and well ...
EPFL2020