3 papers
cs.AI2026
MANAS-2: Constrained Reconstruction for EEG Foundation Models
Arvasu Kulkarni, Aditya Ray Mishra, Mahir Jain +4
Masked reconstruction is widely used for EEG foundation models, but optimizing reconstruction on low-SNR waveforms does not necessarily produce the most useful latent representatio…
cs.LG2026
Adaptive Anisotropic Attention for Axis-Structured Signals
Mahir Jain, Parshva Runwal, Aditya Ray Mishra +3
Dense self-attention treats all token pairs as equally plausible before learning, an interaction-isotropic prior that can be mismatched to structured signals. For structured, low s…
cs.LG2026
PRISM: Exploring Heterogeneous Pretrained EEG Foundation Model Transfer to Clinical Differential Diagnosis
Jeet Bandhu Lahiri, Parshva Runwal, Arvasu Kulkarni +4
EEG foundation models are typically pretrained on narrow-source clinical archives and evaluated on benchmarks from the same ecosystem, leaving unclear whether representations encod…