Daniel Duckworth

According to our database, Daniel Duckworth authored at least 23 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS.

Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Daniel Duckworth, Rama Gosula, Keisuke Tateno, John Bates, Dominik Kaeser, Federico Tombari

CoRR, 2024

2023

SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration.

Daniel Duckworth, Peter Hedman, Christian Reiser, Peter Zhizhin, Jean-François Thibert, Mario Lucic, Richard Szeliski, Jonathan T. Barron

CoRR, 2023

RePAST: Relative Pose Attention Scene Representation Transformer.

Aleksandr Safin, Daniel Duckworth, Mehdi S. M. Sajjadi

CoRR, 2023

PaLM-E: An Embodied Multimodal Language Model.

Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence

Proceedings of the International Conference on Machine Learning, 2023

RUST: Latent Neural Scene Representations from Unposed Imagery.

Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RobustNeRF: Ignoring Distractors with Robust Losses.

Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes.

Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth

Trans. Mach. Learn. Res., 2022

Object Scene Representation Transformer.

Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations.

Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Kubric: A scalable dataset generator.

Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

Neha S. Wadia, Daniel Duckworth, Samuel S. Schoenholz, Ethan Dyer, Jascha Sohl-Dickstein

Proceedings of the 38th International Conference on Machine Learning, 2021

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections.

Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible.

Neha S. Wadia, Daniel Duckworth, Samuel S. Schoenholz, Ethan Dyer, Jascha Sohl-Dickstein

CoRR, 2020

Trading Off Diversity and Quality in Natural Language Generation.

Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan

CoRR, 2020

Automatic Detection of Generated Text is Easiest when Humans are Fooled.

Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Human and Automatic Detection of Generated Text.

Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck

CoRR, 2019

Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning.

Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, Xifeng Yan

CoRR, 2019

Parallel Scheduled Sampling.

Daniel Duckworth, Arvind Neelakantan, Ben Goodrich, Lukasz Kaiser, Samy Bengio

CoRR, 2019

Invertible Convolutional Flow.

Mahdi Karami, Dale Schuurmans, Jascha Sohl-Dickstein, Laurent Dinh, Daniel Duckworth

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset.

Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Stochastic natural gradient descent draws posterior samples in function space.

Samuel L. Smith, Daniel Duckworth, Quoc V. Le, Jascha Sohl-Dickstein

CoRR, 2018

The Importance of Generation Order in Language Modeling.

Nicolas Ford, Daniel Duckworth, Mohammad Norouzi, George E. Dahl

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2010

Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations.

Jur van den Berg, Stephen Miller, Daniel Duckworth, Humphrey Hu, Andrew Wan, Xiao-Yu Fu, Kenneth Y. Goldberg, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2010