"Norm-based Generalization Bounds for Sparse Neural Networks" (NeurIPS, 2023): Derived relatively tight generalization bounds for sparse neural networks (e.g., CNNs), highlighting the critical role of sparsity in generalization
"Comparative Generalization Bounds for Deep Neural Networks" (TMLR, 2023): Introduced the concept of "effective depth," showing it is independent of actual depth and adapts to data complexity
"On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach" (Under review, 2025): Demonstrated that selective state-space layers are more expressive than linear transformers
"From Grounding to Planning: Benchmarking Bottlenecks in Web Agents with Mind2Web" (ECAI, 2025): Evaluated the relative importance of planning vs. grounding capabilities in natural language-based web tasks