Jordan Hoffmann

发表

Recurrent Independent Mechanisms pdf

Sergey Levine, Bernhard Schölkopf, Yoshua Bengio, 2019, ICLR.

A computational model for crumpled thin sheets to complement data-driven machine learning

Lisa Lee, Chris H. Rycroft, Shruti Mishra, 2019 .

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization pdf

Jian Tang, Jordan Hoffmann, Fan-Yun Sun, 2019, ICLR.

High contrast imaging with an arbitrary aperture: active correction of aperture discontinuities: fundamental limits and practical trade- offs

Alexis Carlotti, Dimitri Mawet, Laurent Pueyo, 2014, Astronomical Telescopes and Instrumentation.

AlgebraNets pdf

Erich Elsen, Simon Osindero, Karen Simonyan, 2020, ArXiv.

Predicting the dynamics of crumpling with machine learning

Chris H. Rycroft, Jordan Hoffmann, Lisa Lee, 2018 .

Machine learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets

Shruti Mishra, Jordan Hoffmann, Jovana Andrejevic, 2018, Science Advances.

Using an autoencoder to reduce experimental noise

Chris H. Rycroft, Jordan Hoffmann, Lisa Lee, 2019 .

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures pdf

Yoshua Bengio, Jian Tang, Yoshihide Sawada, 2019, ArXiv.

Using Machine Learning to Understand the Evolution of Damage Networks in Thin Sheets

Chris H. Rycroft, Jordan Hoffmann, Jovana Andrejevic, 2018 .

Improving language models by retrieving from trillions of tokens pdf

Erich Elsen, Arthur Mensch, Simon Osindero, 2021, ArXiv.

Recurrent Independent Mechanisms pdf

Bernhard Schölkopf, Sergey Levine, Yoshua Bengio, 2021, ICLR.

Scaling Language Models: Methods, Analysis & Insights from Training Gopher pdf

Po-Sen Huang, Erich Elsen, Arthur Mensch, 2021, ArXiv.