Xiaoliang Luo

According to our database, Xiaoliang Luo authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Large language models surpass human experts in predicting neuroscience results.

Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love

CoRR, 2024

2023

A too-good-to-be-true prior to reduce shortcut reliance.

Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love

Pattern Recognit. Lett., February, 2023

2022

Based on NB-IoT Platform for air quality detection system.

Xianhong Xiong, Chuansheng Yan, Xiaoliang Luo, Jun Guo, Ye Pan, Qiang Luo

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021

Understanding top-down attention using task-oriented ablation design.

Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love

CoRR, 2021

2020

The perceptual boost of visual attention is task-dependent in naturalistic settings.

Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love

CoRR, 2020

The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks.

Xiaoliang Luo, Brett D. Roads, Bradley C. Love

CoRR, 2020