5 citations · 5 across the 7 of their papers we have counts for
8 papers
Label Agreement Does Not Measure Authorization
Amir Sabbaghziarani, Bradley Thomas Baker, Theodore J. LaGrow +1
Many groups now delegate label ontology and metadata harmonization to agentic LLM pipelines. We built one and audited it. Our aggregate scores looked healthy, but the pipeline kept…
Batch Effects In Brain Foundation Model Embeddings
Ye Tao, Bradley T. Baker, Yu Wu +4
Foundation models show strong potential for large-scale, high-dimensional biomedical applications, yet their ability to capture relevant neurobiological characteristics remains und…
Complex-valued Phase Synchrony Reveals Directional Coupling in FMRI and Tracks Medication Effects
Sir-Lord Wiafe, Najme Soleimani, Masoud Seraji +4
Understanding interactions in complex systems requires capturing the relative timing of coupling, not only its strength. Phase synchronization captures this timing, yet most method…
Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging
Bradley T. Baker, Vince D. Calhoun, Sergey M. Plis
Neural networks, whice have had a profound effect on how researchers study complex phenomena, do so through a complex, nonlinear mathematical structure which can be difficult for h…
Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment
Bradley T. Baker, Mustafa S. Salman, Zening Fu +4
In the clinical treatment of mood disorders, the complex behavioral symptoms presented by patients and variability of patient response to particular medication classes can create d…
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse
Bradley T. Baker, Barak A. Pearlmutter, Robyn Miller +2
Our understanding of learning dynamics of deep neural networks (DNNs) remains incomplete. Recent research has begun to uncover the mathematical principles underlying these networks…
Peering Beyond the Gradient Veil with Distributed Auto Differentiation
Bradley T. Baker, Aashis Khanal, Vince D. Calhoun +2
Although distributed machine learning has opened up many new and exciting research frontiers, fragmentation of models and data across different machines, nodes, and sites still res…
Improved Differentially Private Decentralized Source Separation for fMRI Data
Hafiz Imtiaz, Jafar Mohammadi, Rogers Silva +4
Blind source separation algorithms such as independent component analysis (ICA) are widely used in the analysis of neuroimaging data. In order to leverage larger sample sizes, diff…