23 citations · 23 across the 3 of their papers we have counts for
4 papers
MANAS-2: Constrained Reconstruction for EEG Foundation Models
Arvasu Kulkarni, Aditya Ray Mishra, Jeet Bandhu Lahiri +5
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…
Adaptive Anisotropic Attention for Axis-Structured Signals
Mahir Jain, Parshva Runwal, Aditya Ray Mishra +4
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…
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…
Revisiting Bayesian Autoencoders with MCMC
Rohitash Chandra, Mahir Jain, Manavendra Maharana +1
Autoencoders gained popularity in the deep learning revolution given their ability to compress data and provide dimensionality reduction. Although prominent deep learning methods h…