PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. - Alejandro Hernández-Cano; Rosario Cammarota; Mohsen Imani (DAC, 2021)

RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System. - Alejandro Hernández-Cano; Cheng Zhuo; Xunzhao Yin; Mohsen Imani (DAC, 2021)

A Framework for Efficient and Binary Clustering in High-Dimensional Space. - Alejandro Hernández-Cano; Yeseong Kim; Mohsen Imani (DATE, 2021)

Real-Time and Robust Hyperdimensional Classification. - Alejandro Hernández-Cano; Cheng Zhuo; Xunzhao Yin; Mohsen Imani (ACM Great Lakes Symposium on VLSI, 2021)

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. - Zeming Chen 001; Alejandro Hernández-Cano; Angelika Romanou; Antoine Bonnet; Kyle Matoba; Francesco Salvi; Matteo Pagliardini; Simin Fan; Andreas Köpf; Amirkeivan Mohtashami; Alexandre Sallinen; Alireza Sakhaeirad; et al. (CoRR, 2023)

Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. - Yang Ni 001; Danny Abraham; Mariam Issa; Alejandro Hernández-Cano; Mahdi Imani; Pietro Mercati; Mohsen Imani (IEEE Access, 2024)

Hyperdimensional computing with holographic and adaptive encoder. - Alejandro Hernández-Cano; Yang Ni 001; Zhuowen Zou; Ali Zakeri; Mohsen Imani (Frontiers Artif. Intell., 2024)

Towards Fully FP8 GEMM LLM Training at Scale. - Alejandro Hernández-Cano; Dhia Garbaya; Imanol Schlag; Martin Jaggi (CoRR, 2025)