Orr, Douglas

9 publications

ICLR 2025 U-$\mu$P: The Unit-Scaled Maximal Update Parametrization Charlie Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Yuri Prince, Björn Deiseroth, Andres Felipe Cruz-Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr

NeurIPSW 2024 Approximate Top-K for Increased Parallelism Oscar Key, Luka Ribar, Alberto Cattaneo, Luke Hudlass-Galley, Douglas Orr

ICML 2024 SparQ Attention: Bandwidth-Efficient LLM Inference Luka Ribar, Ivan Chelombiev, Luke Hudlass-Galley, Charlie Blake, Carlo Luschi, Douglas Orr

ICLRW 2024 SparQ Attention: Bandwidth-Efficient LLM Inference Luka Ribar, Ivan Chelombiev, Luke Hudlass-Galley, Charlie Blake, Carlo Luschi, Douglas Orr

NeurIPSW 2024 U-$\mu$P: The Unit-Scaled Maximal Update Parametrization Charlie Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Yuri Prince, Björn Deiseroth, Andres Felipe Cruz-Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr

ICMLW 2024 U-μP: The Unit-Scaled Maximal Update Parametrization Charlie Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Yuri Prince, Björn Deiseroth, Andres Felipe Cruz-Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr

ICMLW 2024 U-μP: The Unit-Scaled Maximal Update Parametrization Charlie Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Yuri Prince, Björn Deiseroth, Andres Felipe Cruz-Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr

ICML 2023 Unit Scaling: Out-of-the-Box Low-Precision Training Charlie Blake, Douglas Orr, Carlo Luschi

ECCV 2010 Real-Time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid Christian Richardt, Douglas Orr, Ian P. Davies, Antonio Criminisi, Neil A. Dodgson