Mordvintsev, Alexander

11 publications

ICML 2023 Transformers Learn In-Context by Gradient Descent Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo, Joao Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov

Distill 2021 Adversarial Reprogramming of Neural Cellular Automata Ettore Randazzo, Alexander Mordvintsev, Eyvind Niklasson, Michael Levin

Distill 2021 Self-Organising Textures Eyvind Niklasson, Alexander Mordvintsev, Ettore Randazzo, Michael Levin

Distill 2020 Growing Neural Cellular Automata Alexander Mordvintsev, Ettore Randazzo, Eyvind Niklasson, Michael Levin

Distill 2020 Self-Classifying MNIST Digits Ettore Randazzo, Alexander Mordvintsev, Eyvind Niklasson, Michael Levin, Sam Greydanus

Distill 2020 Thread: Differentiable Self-Organizing Systems Alexander Mordvintsev, Ettore Randazzo, Eyvind Niklasson, Michael Levin, Sam Greydanus

Distill 2018 Differentiable Image Parameterizations Alexander Mordvintsev, Nicola Pezzotti, Ludwig Schubert, Chris Olah

Distill 2018 The Building Blocks of Interpretability Chris Olah, Arvind Satyanarayan, Ian Johnson, Shan Carter, Ludwig Schubert, Katherine Ye, Alexander Mordvintsev

ICCV 2017 Associative Domain Adaptation Philip Haeusser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers

Distill 2017 Feature Visualization Chris Olah, Alexander Mordvintsev, Ludwig Schubert

CVPR 2017 Learning by Association -- a Versatile Semi-Supervised Training Method for Neural Networks Philip Haeusser, Alexander Mordvintsev, Daniel Cremers