Reese Kneeland

According to our database, Reese Kneeland authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery.

Reese Kneeland, Cesar Kadir Torrico Villanueva, Jordyn Ojeda, Shuhb Khanna, Jonathan Xu, Paul S. Scotti, Thomas Naselaris

CoRR, May, 2026

ENIGMA: EEG-to-Image in 15 Minutes Using Less Than 1% of the Parameters.

Reese Kneeland, Wangshu Jiang, Ugo Bruzadin Nunes, Paul S. Scotti, Arnaud Delorme, Jonathan Xu

CoRR, February, 2026

2025

NSD-Imagery: A Benchmark Dataset for Extending fMRI Vision Decoding Methods to Mental Imagery.

Reese Kneeland, Paul S. Scotti, Ghislain St-Yves, Jesse Breedlove, Kendrick N. Kay, Thomas Naselaris

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data.

Paul S. Scotti, Mihir Tripathy, Cesar Torrico, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Brain-optimized inference improves reconstructions of fMRI brain activity.

Reese Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas Naselaris

CoRR, 2023

Second Sight: Using brain-optimized encoding models to align image distributions with human brain activity.

Reese Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas Naselaris

CoRR, 2023

Reconstructing seen images from human brain activity via guided stochastic search.

Reese Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas Naselaris

CoRR, 2023