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Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping


Oct 05, 2021
James Martens, Andy Ballard, Guillaume Desjardins, Grzegorz Swirszcz, Valentin Dalibard, Jascha Sohl-Dickstein, Samuel S. Schoenholz

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Gradient Forward-Propagation for Large-Scale Temporal Video Modelling


Jul 12, 2021
Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, Joao Carreira

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* Accepted to CVPR 2021. arXiv admin note: text overlap with arXiv:2001.06232 

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Sideways: Depth-Parallel Training of Video Models


Jan 17, 2020
Mateusz Malinowski, Grzegorz Swirszcz, Joao Carreira, Viorica Patraucean

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Verification of Non-Linear Specifications for Neural Networks


Feb 25, 2019
Chongli Qin, Krishnamurthy, Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

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* ICLR conference paper 

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Distilling Policy Distillation


Feb 06, 2019
Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg

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* Accepted at AISTATS 2019 

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Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles


Nov 22, 2018
Edward Grefenstette, Robert Stanforth, Brendan O'Donoghue, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

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* 12 pages 

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Local minima in training of neural networks


Feb 17, 2017
Grzegorz Swirszcz, Wojciech Marian Czarnecki, Razvan Pascanu

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