Botev, Aleksandar

8 publications

ICLR 2023 Deep Transformers Without Shortcuts: Modifying Self-Attention for Faithful Signal Propagation Bobby He, James Martens, Guodong Zhang, Aleksandar Botev, Andrew Brock, Samuel L Smith, Yee Whye Teh

ICLR 2022 Deep Learning Without Shortcuts: Shaping the Kernel with Tailored Rectifiers Guodong Zhang, Aleksandar Botev, James Martens

NeurIPS 2021 SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev

ICLR 2020 Hamiltonian Generative Networks Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins

ICLR 2018 A Scalable Laplace Approximation for Neural Networks Hippolyt Ritter, Aleksandar Botev, David Barber

NeurIPS 2018 Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting Hippolyt Ritter, Aleksandar Botev, David Barber

AISTATS 2017 Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification Aleksandar Botev, Bowen Zheng, David Barber

ICML 2017 Practical Gauss-Newton Optimisation for Deep Learning Aleksandar Botev, Hippolyt Ritter, David Barber