Bryan M. Li

According to our database, Bryan M. Li authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning.

Filippo Corponi, Bryan M. Li, Gerard Anmella, Clàudia Valenzuela-Pascual, Ariadna Mas, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antonio Benabarre, Marina Garriga, Eduard Vieta, Allan H. Young, Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio Vergari

CoRR, 2023

V1T: large-scale mouse V1 response prediction using a Vision Transformer.

Bryan M. Li, Isabel M. Cornacchia, Nathalie L. Rochefort, Arno Onken

CoRR, 2023

2022

Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols.

Bryan M. Li, Leonardo V. Castorina, Maria del C. Valdés Hernández, Una Clancy, Stewart J. Wiseman, Eleni Sakka, Amos J. Storkey, Daniela Jaime Garcia, Yajun Cheng, Fergus Doubal, Michael J. Thrippleton, Michael S. Stringer, Joanna M. Wardlaw

Frontiers Comput. Neurosci., 2022

2021

Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks.

Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken

CoRR, 2021

2020

CalciumGAN: A Generative Adversarial Network Model for Synthesising Realistic Calcium Imaging Data of Neuronal Populations.

Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken

CoRR, 2020

2019

RL: Generic reinforcement learning codebase in TensorFlow.

Bryan M. Li, Alexander I. Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez

J. Open Source Softw., 2019

2018

Unsupervised Cipher Cracking Using Discrete GANs.

Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser

Proceedings of the 6th International Conference on Learning Representations, 2018