Ishaan Batta

Conditioned Graph Reconstruction of Brain Functional Network Connectivity Reveals Interpretable Latent Axes of Sex and Fluid Intelligence

The paper introduces a conditional graph variational autoencoder to model brain functional connectivity, reconstructing network patterns conditioned on sex and fluid intelligence while preserving interpretable latent features.

SVR-based Multimodal Active Subspace Analysis for the Brain using Neuroimaging Data

The paper introduces a multimodal active subspace learning framework to identify brain subspaces associated with cognitive and biological traits, validated on Alzheimer's disease data.

Learning Active Multimodal Subspaces in the Brain

The paper introduces a multimodal framework to identify brain subspaces linked to biological age and Schizophrenia, showing improved performance over PCA-based methods.

Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study

The paper uses a Bayesian optimization framework to analyze brain functional subdomains in schizophrenia, showing that more complex models better capture discriminatory information in specific subdomains.

A Weighted Network Analysis Framework for the Hourglass Effect - and its Application in the C. Elegans Connectome

The paper introduces a weighted network analysis framework to study the hourglass effect in the C. elegans connectome, revealing sex-specific differences in core neuron locations.