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Nikos Tsikouras

2 accepted papers

2026

A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond

ICLR 2026poster

Understanding the dynamics of feature learning in neural networks (NNs) remains a significant challenge. The work of (Mousavi-Hosseini et al., 2023) analyzes a multiple index teacher-student setting and shows that a two-layer student attains a low-rank structure in its first-layer weights when tra…

Cited by 0SourceScholar
2024

Optimization Can Learn Johnson Lindenstrauss Embeddings

NeurIPS 2024poster

Embeddings play a pivotal role across various disciplines, offering compact representations of complex data structures. Randomized methods like Johnson-Lindenstrauss (JL) provide state-of-the-art and essentially unimprovable theoretical guarantees for achieving such representations. These guarantees…

Cited by 0SourcePDFScholar