Training with Multi-Layer Embeddings for Model Reduction. - Benjamin Ghaemmaghami; Zihao Deng; Benjamin Y. Cho; Leo Orshansky; Ashish Kumar Singh; Mattan Erez; Michael Orshansky (CoRR, 2020)

Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. - Zihao Deng; Benjamin Ghaemmaghami; Ashish Kumar Singh; Benjamin Y. Cho; Leo Orshansky; Mattan Erez; Michael Orshansky (ACML, 2023)

Harvesting Brownian Motion: Zero Energy Computational Sampling. - David Doty; Niels Kornerup; Austin Luchsinger; Leo Orshansky; David Soloveichik; Damien Woods (CoRR, 2023)

Comparing classical and quantum conditional disclosure of secrets. - Uma Girish; Alex May 003; Leo Orshansky; Chris Waddell (IACR Cryptol. ePrint Arch., 2025)