2 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…
stat.ML2026
Multi-layer Cross-attention is Provably Optimal for Multi-modal In-context Learning
Nicholas Barnfield, Subhabrata Sen, Pragya Sur
Recent progress has rapidly advanced our understanding of the mechanisms underlying in-context learning in modern attention-based neural networks. However, existing results focus e…