3 papers
stat.ME2026
DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing
Sagnik Nandy, Samriddha Lahiry, Pragya Sur +1
Multimodal supervised learning seeks to leverage multiple heterogeneous data sources to improve predictive performance. A central challenge is determining the fusion granularity ac…
math.ST2026
Maximum entropy based testing in network models: ERGMs and constrained optimization
Subhro Ghosh, Rathindra Nath Karmakar, Samriddha Lahiry
Stochastic network models play a central role across a wide range of scientific disciplines, and questions of statistical inference arise naturally in this context. In this paper w…
cs.IT2025
Information-theoretic limits and approximate message-passing for high-dimensional time series
Daria Tieplova, Samriddha Lahiry, Jean Barbier
High-dimensional time series appear in many scientific setups, demanding a nuanced approach to model and analyze the underlying dependence structure. Theoretical advancements so fa…