Paul S. Scotti

According to our database, Paul S. Scotti authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

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

Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks.

Benjamin Warner, Ratna Sagari Grandhi, Max Kieffer, Aymane Ouraq, Saurav Panigrahi, Geetu Ambwani, Kunal Bagga, Nikhil Khandekar, Arya Hariharan, Nishant Mishra, Manish Ram, Shamus Sim Zi Yang, Ahmed Essouaied, Adepoju Jeremiah Moyondafoluwa, Robert Scholz, Bofeng Huang, Molly Beavers, Srishti Gureja, Anish Mahishi, Sameed Khan, Maxime Griot, Hunar Batra, Jean-Benoit Delbrouck, Siddhant Bharadwaj, Ronald Clark, Ashish Vashist, Anas Zafar, Leema Krishna Murali, Harsh Deshpande, Ameen Patel, William Brown, Johannes Hagemann, Connor Lane, Paul S. Scotti, Tanishq Mathew Abraham

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

Scaling Vision Transformers for Functional MRI with Flat Maps.

Connor Lane, Daniel Z. Kaplan, Tanishq Mathew Abraham, Paul S. Scotti

CoRR, October, 2025

Insights from the Algonauts 2025 Winners.

Paul S. Scotti, Mihir Tripathy

CoRR, August, 2025

Predicting Brain Responses To Natural Movies With Multimodal LLMs.

Cesar Kadir Torrico Villanueva, Jiaxin Cindy Tu, Mihir Tripathy, Connor Lane, Rishab Iyer, Paul S. Scotti

CoRR, July, 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

Progress Towards Decoding Visual Imagery via fNIRS.

Michel Adamic, Wellington Avelino, Anna M. Brandenberger, Bryan Chiang, Hunter Davis, Stephen Fay, Andrew Gregory, Aayush Gupta, Raphael Hotter, Grace Jiang, Fiona Leng, Stephen Polcyn, Thomas Ribeiro, Paul S. Scotti, Michelle Wang, Marley Xiong, Jonathan Xu

CoRR, 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

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors.

Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI.

Grant Wallace, Stephen Polcyn, Paula P. Brooks, Anne C. Mennen, Ke Zhao, Paul S. Scotti, Sebastian Michelmann, Kai Li, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman

NeuroImage, 2022