Aidan Clark

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	OpenAI o1 System Card	2024	OpenAI NULL AUTHOR_ID Aaron Jaech Adam Tauman Kalai Adam Lerer Adam J. Richardson Ahmed El-Kishky A. M. Low Alec Helyar Aleksander Mądry
+ PDF Chat	GPT-4o System Card	2024	OpenAI NULL AUTHOR_ID A. M. Hurst Adam Lerer Adam P. Goucher Adam Perelman Aditya Ramesh Aidan Clark AJ Ostrow Akila Welihinda
+	Training Compute-Optimal Large Language Models	2022	Jordan Hoffmann Sebastian Borgeaud Arthur Mensch Elena Buchatskaya Trevor Cai Eliza Rutherford Diego de Las Casas Lisa Anne Hendricks Johannes Welbl Aidan Clark
+	Unified Scaling Laws for Routed Language Models	2022	Aidan Clark Diego de las Casas Aurelia Guy Arthur Mensch M. Paganini Jordan Hoffmann Bogdan Damoc Blake A. Hechtman Trevor Cai Sebastian Borgeaud
+ PDF Chat	Skilful precipitation nowcasting using deep generative models of radar	2021	Suman Ravuri Karel Lenc Matthew Willson Dmitry Kangin Rémi Lam Piotr Mirowski M. A. Fitzsimons Maria Athanassiadou Sheleem Kashem Sam Madge
+	Skillful Precipitation Nowcasting using Deep Generative Models of Radar	2021	Suman Ravuri Karel Lenc Matthew Willson Dmitry Kangin Rémi Lam Piotr Mirowski M. A. Fitzsimons Maria Athanassiadou Sheleem Kashem Sam Madge
+	Podracer architectures for scalable Reinforcement Learning	2021	Matteo Hessel Matthias Kroiß Aidan Clark Iurii Kemaev John Quan Thomas M. Keck Fabio Viola Hado van Hasselt
+	Improving language models by retrieving from trillions of tokens	2021	Sebastian Borgeaud Arthur Mensch Jordan Hoffmann Trevor Cai Eliza Rutherford Katie Millican George van den Driessche Jean-Baptiste Lespiau Bogdan Damoc Aidan Clark
+	Scaling Language Models: Methods, Analysis & Insights from Training Gopher	2021	Jack W. Rae Sebastian Borgeaud Trevor Cai Katie Millican Jordan Hoffmann Francis Song John Aslanides Sarah B. Henderson Roman Ring Susannah Young
+	V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control	2020	Hao Song Abbas Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer Jack W. Rae Seb Noury Arun Ahuja Siqi Liu Dhruva Tirumala
+	Transformation-based Adversarial Video Prediction on Large-Scale Data	2020	Pauline Luc Aidan Clark Sander Dieleman Diego de Las Casas Yotam Doron Albin Cassirer Karen Simonyan
+	Transformation-based Adversarial Video Prediction on Large-Scale Data	2020	Pauline Luc Aidan Clark Sander Dieleman Diego de Las Casas Yotam Doron Albin Cassirer Karen Simonyan
+	High Fidelity Speech Synthesis with Adversarial Networks	2019	Mikołaj Bińkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan
+	Efficient Video Generation on Complex Datasets.	2019	Aidan Clark Jeff Donahue Karen Simonyan
+	TF-Replicator: Distributed Machine Learning for Researchers	2019	Peter Buchlovsky David Budden Dominik Grewe Chris S. Jones John Aslanides Frederic Besse Andy Brock Aidan Clark Sergio Gómez Colmenarejo Aedan Pope
+	V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control	2019	Hao Song Abbas Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer Jack W. Rae Seb Noury Arun Ahuja Siqi Liu Dhruva Tirumala
+	Adversarial Video Generation on Complex Datasets	2019	Aidan Clark Jeff Donahue Karen Simonyan
+	Stabilizing Transformers for Reinforcement Learning	2019	Emilio Parisotto Hao Song Jack W. Rae Razvan Pascanu Çaǧlar Gülçehre Siddhant M. Jayakumar Max Jaderberg Raphaël Lopez Kaufman Aidan Clark Seb Noury
+	High Fidelity Speech Synthesis with Adversarial Networks	2019	Mikołaj Bińkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan

Common Coauthors

Coauthor	Papers Together
Karen Simonyan	12
Jack W. Rae	7
Erich Elsen	6
Albin Cassirer	5
Diego de Las Casas	5
Sebastian Borgeaud	4
Oriol Vinyals	4
Jordan Hoffmann	4
George van den Driessche	4
Arthur Mensch	4
Jeff Donahue	4
Tom Hennigan	4
Laurent Sifre	4
Aurelia Guy	4
Trevor Cai	4
Sander Dieleman	4
Simon Osindero	4
Nicolas Heess	3
Matthew Botvinick	3
David Budden	3
Elena Buchatskaya	3
Jacob Menick	3
Raia Hadsell	3
M. Paganini	3
Hao Song	3
Jonathan Uesato	3
Seb Noury	3
Dan Belov	3
Dimitris Tsipras	2
Abbas Abdolmaleki	2
Łukasz Kaiser	2
Andrew Brock	2
Ilya Sutskever	2
Francis Song	2
Aleksander Mądry	2
Dhruva Tirumala	2
Blake A. Hechtman	2
Adam Lerer	2
Karan Singhal	2
Randall Lin	2
Geoffrey Irving	2
Pauline Luc	2
Bogdan Damoc	2
Barret Zoph	2
J. G. Parish	2
Lisa Anne Hendricks	2
Suman Ravuri	2
Thibault Sottiaux	2
John Aslanides	2
Piotr Mirowski	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	6
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	5
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	5
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	4
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	4
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	4
+	TGANv2: Efficient Training of Large Models for Video Generation with Multiple Subsampling Layers	2018	Masaki Saito Shunta Saito	4
+	TF-Replicator: Distributed Machine Learning for Researchers	2019	Peter Buchlovsky David Budden Dominik Grewe Chris S. Jones John Aslanides Frederic Besse Andy Brock Aidan Clark Sergio Gómez Colmenarejo Aedan Pope	4
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	4
+	A Learned Representation For Artistic Style	2016	Vincent Dumoulin Jonathon Shlens Manjunath Kudlur	4
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	3
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	3
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	3
+	StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks	2016	Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang Dimitris Metaxas	3
+	Adversarial Video Generation on Complex Datasets	2019	Aidan Clark Jeff Donahue Karen Simonyan	3
+ PDF Chat	Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN	2020	Masaki Saito Shunta Saito Masanori Koyama Sosuke Kobayashi	3
+	Transformer-XL: Attentive Language Models beyond a Fixed-Length Context	2019	Zihang Dai Zhilin Yang Yiming Yang Jaime Carbonell Quoc V. Le Ruslan Salakhutdinov	3
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	3
+	Deep generative image models using a Laplacian pyramid of adversarial networks	2015	Emily Denton Soumith Chintala Arthur Szlam Rob Fergus	3
+	Maximum a Posteriori Policy Optimisation	2018	Abbas Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos Nicolas Heess Martin Riedmiller	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	Relative Entropy Regularized Policy Iteration	2018	Abbas Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov Nicolas Heess Martin Riedmiller	3
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	3
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	3
+	Large Scale Adversarial Representation Learning	2019	Jeff Donahue Karen Simonyan	3
+	Benchmarking Deep Reinforcement Learning for Continuous Control	2016	Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel	2
+ PDF Chat	Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks	2016	Chuan Li Michael Wand	2
+	Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders	2017	Jesse Engel Cinjon Resnick Adam P. Roberts Sander Dieleman Douglas Eck Karen Simonyan Mohammad Norouzi	2
+	Learning functions across many orders of magnitudes.	2016	Hado van Hasselt Arthur Guez Matteo Hessel David Silver	2
+	Multi-task Deep Reinforcement Learning with PopArt	2018	Matteo Hessel Hubert Soyer Lasse Espeholt Wojciech Marian Czarnecki Simon Schmitt Hado van Hasselt	2
+	Unsupervised Learning of Video Representations using LSTMs	2015	Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov	2
+	MelNet: A Generative Model for Audio in the Frequency Domain	2019	Sean Vasquez Mike Lewis	2
+	Supervised Policy Update for Deep Reinforcement Learning	2018	Quan Vuong Yiming Zhang Keith W. Ross	2
+	Neural probabilistic motor primitives for humanoid control	2018	Josh Merel Leonard Hasenclever Alexandre Galashov Arun Ahuja Vu Pham Greg Wayne Yee Whye Teh Nicolas Heess	2
+	Video (language) modeling: a baseline for generative models of natural videos.	2014	Marc’Aurelio Ranzato Arthur Szlam Joan Bruna Michaël Mathieu Ronan Collobert Sumit Chopra	2
+	Towards Accurate Generative Models of Video: A New Metric & Challenges	2018	Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly	2
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	2
+	Efficient Video Generation on Complex Datasets.	2019	Aidan Clark Jeff Donahue Karen Simonyan	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Reinforcement Learning with Unsupervised Auxiliary Tasks	2016	Max Jaderberg Volodymyr Mnih Wojciech Marian Czarnecki Tom Schaul Joel Z. Leibo David Silver Koray Kavukcuoglu	2
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	2
+	OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models	2018	Oleksii Kuchaiev Boris Ginsburg Igor Gitman Vitaly Lavrukhin Carl Case Paulius Micikevicius	2
+	Human-level performance in 3D multiplayer games with population-based reinforcement learning	2019	Max Jaderberg Wojciech Marian Czarnecki Iain Dunning Luke Marris Guy Lever Antonio García Castañeda Charles Beattie Neil C. Rabinowitz Ari S. Morcos Avraham Ruderman	2
+	A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants	1998	Radford M. Neal Geoffrey E. Hinton	2
+	Generating Videos with Scene Dynamics	2016	Carl Vondrick Hamed Pirsiavash Antonio Torralba	2
+	SampleRNN: An Unconditional End-to-End Neural Audio Generation Model	2016	Soroush Mehri Kundan Kumar Ishaan Gulrajani Rithesh Kumar Shubham Jain Jose Sotelo Aaron Courville Yoshua Bengio	2
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+	Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review	2018	Sergey Levine	2