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Disambiguation of "Duckworth, Daniel"

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Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization.

, , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10617-10629. PMLR, (2021)

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David Duckworth

Daniel

Daniel

Daniel Dirkmann

In-vitro-Untersuchungen zum Effekt von Hypothermie und Azidose auf Variablen thrombelastometrischer Messungen der Blutgerinnung. Uni Duisburg-Essen, (2009)

Daniel Stanze

Systematische Analyse von Rezeptoren und Effektormechanismen der pulmonalen angeborenen Immunität. Uni Marburg, (2009)
 

Other publications of authors with the same name

RobustNeRF: Ignoring Distractors with Robust Losses., , , , , and . CVPR, page 20626-20636. IEEE, (2023)InterNeRF: Scaling Radiance Fields via Parameter Interpolation., , , , and . CoRR, (2024)Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations., , , , , , , , , and 3 other author(s). CVPR, page 6219-6228. IEEE, (2022)Object Scene Representation Transformer., , , , , , , , and . NeurIPS, (2022)RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS., , , , , , , , , and . CoRR, (2024)SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration., , , , , , , and . ACM Trans. Graph., 43 (4): 63:1-63:13 (July 2024)RUST: Latent Neural Scene Representations from Unposed Imagery., , , , , , and . CVPR, page 17297-17306. IEEE, (2023)NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections., , , , , and . CVPR, page 7210-7219. Computer Vision Foundation / IEEE, (2021)Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset., , , , , , , , , and . EMNLP/IJCNLP (1), page 4515-4524. Association for Computational Linguistics, (2019)NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections, , , , , and . (2020)cite arxiv:2008.02268Comment: Project website: https://nerf-w.github.io. Ricardo Martin-Brualla, Noha Radwan, and Mehdi S. M. Sajjadi contributed equally to this work. Updated with results for three additional scenes.