Jordan Hoffmann
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Advanced Graph Neural Networks, Architecture and Computational Design, Protein Structure and Dynamics
Most-Cited Works
- → Training Compute-Optimal Large Language Models(2022)651 cited
- → Improving language models by retrieving from trillions of tokens(2021)295 cited
- → InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation\n Learning via Mutual Information Maximization(2019)256 cited
- → Scaling Language Models: Methods, Analysis & Insights from Training Gopher(2021)242 cited
- → Recurrent Independent Mechanisms(2019)80 cited
- → Machine learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets(2019)71 cited
- → AT2019azh: an unusually long-lived, radio-bright thermal tidal disruption event(2022)64 cited
- → Ion Correlations in Nanofluidic Channels: Effects of Ion Size, Valence, and Concentration on Voltage- and Pressure-Driven Currents(2013)54 cited
- → Computational analysis of size, shape and structure of insect wings(2019)50 cited