Eloy Geenjaar

PhD student, Georgia Institute of Technology

Joined

April 2022

Names

Eloy Geenjaar (Preferred)

Emails

****@gatech.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Georgia Institute of Technology (gatech.edu)

2021 – Present

MS student

Delft University of Technology (tudelft.nl)

2017 – 2021

Undergrad student

Delft University of Technology (tudelft.nl)

2014 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Vince Calhoun

2021 – Present

Expertise

Recurrent neural networks

2021 – Present

Computational neuroscience

2021 – Present

Generative models

2018 – Present

Developmental psychiatry

2017 – Present

Functional magnetic resonance imaging

2017 – Present

Publications

A robust PPG foundation model using multimodal physiological supervision
Eloy Geenjaar, Vince D. Calhoun, scott daly, Gouthaman KV, Lie Lu, Trisha Mittal, Daniel P. Darcy
- Submitted to ICLR 2026
- Readers: Everyone
Auxiliary objective improves generalization performance but reduces model specification for low-data neuroimaging-based brain age prediction
Donghyun Kim, Eloy Geenjaar, Vince Calhoun
- UniReps
- Readers: Everyone
Efficient federated learning for distributed neuroimaging data
Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis
- Frontiers Neuroinformatics 2024
- Readers: Everyone
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, Girish Mittapalle, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun
- NeuroImage 2024
- Readers: Everyone
Uncovering the latent dynamics of whole-brain fMRI tasks with a sequential variational autoencoder
Eloy Geenjaar, Donghyun Kim, Riyasat Ohib, Marlena Duda, Amrit Kashyap, Sergey M. Plis, Vince Calhoun
- DGM4H NeurIPS 2023 Poster
- Readers: Everyone
Learning low-dimensional dynamics from whole-brain data improves task capture
Eloy Geenjaar, Donghyun Kim, Riyasat Ohib, Marlena Duda, Amrit Kashyap, Sergey M. Plis, Vince D. Calhoun
- CoRR 2023
- Readers: Everyone
CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs
Eloy Geenjaar, Noah Lewis, Amrit Kashyap, Robyn Miller, Vince Calhoun
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
TI-VAE: A temporally independent VAE with applications to latent factor learning in neuroimaging
Eloy Geenjaar, Amrit Kashyap, Noah Lewis, Robyn Miller, Vince Calhoun
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder
Xinhui Li, Eloy Geenjaar, Zening Fu, Sergey M. Plis, Vince D. Calhoun
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- EMBC 2022
- Readers: Everyone
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone

View all 18 publications

Co-Authors

View all 31 co-authors