Welbl, Johannes

6 publications

NeurIPS 2022 An Empirical Analysis of Compute-Optimal Large Language Model Training Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Thomas Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karén Simonyan, Erich Elsen, Oriol Vinyals, Jack Rae, Laurent Sifre

NeurIPS 2022 Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks

ICLR 2020 Towards Verified Robustness Under Text Deletion Interventions Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy Dvijotham, Martin Szummer, Pushmeet Kohli

ICLR 2017 Frustratingly Short Attention Spans in Neural Language Modeling Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel

JMLR 2017 Knowledge Graph Completion via Complex Tensor Factorization Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard

ICML 2016 Complex Embeddings for Simple Link Prediction Théo Trouillon, Johannes Welbl, Sebastian Riedel, Eric Gaussier, Guillaume Bouchard