Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain 2 MRI Analysis. - Dip Roy (CoRR, 2025)

Causal Intervention Framework for Variational Auto Encoder Mechanistic Interpretability. - Dip Roy (CoRR, 2025)

Mechanistic Interpretability of Diffusion Models: Circuit-Level Analysis and Causal Validation. - Dip Roy (CoRR, 2025)

Fundamental limits of neural network sparsification: Evidence from catastrophic interpretability collapse. - Dip Roy; Rajiv Misra; Sanjay Kumar Singh (Neurocomputing, 2026)

Does Mechanistic Interpretability Transfer Across Data Modalities? A Cross-Domain Causal Circuit Analysis of Variational Autoencoders. - Dip Roy; Rajiv Misra; Sanjay Kumar Singh; Anisha Roy (CoRR, 2026)

MemGuard-Alpha: Detecting and Filtering Memorization-Contaminated Signals in LLM-Based Financial Forecasting via Membership Inference and Cross-Model Disagreement. - Anisha Roy; Dip Roy (CoRR, 2026)

Before the First Token: Scale-Dependent Emergence of Hallucination Signals in Autoregressive Language Models. - Dip Roy; Rajiv Misra; Sanjay Kumar Singh; Anisha Roy (CoRR, 2026)