Curriculum
Public work
List of publications, conferences and preprints in reverse chronological order.
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[Front. AI 2024] A. Hernández-Cano, Y. Ni, Z. Zou, A. Zakeri, M. Imani. Hyperdimensional Computing with Holographic and Adaptive Encoder.
> pdf <
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[ArXiV 2023] Z. Chen, Alejandro Hernández-Cano*, A. Romanou*, A. Bonnet*, K. Matoba*, et. al. “MediTron-70B: Scaling Medical Pretraining for Large Language Models”.
> pdf | data & finetuning code | trainer code | huggingface team <
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[DATE 2023] J.R. Rubalcava-Cortés, A. Hernández-Cano, A.C. Pacheco-Tovar, F. Imani, R. Cammarota, M. Imani. “Privacy-Preserving Neural Representation for Brain-Inspired Learning”.
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[PLoS One 2023] E. Correa-Padilla, A. Hernández-Cano, G. Cuevas, Y. Acevedo-Betancur, F. Esquivel-Guadarrama, K. Martinez-Mayorga. “Modifications in the piperazine ring of nucleozin affect anti-influenza activity”.
> pdf <
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[ACS Fall 2021] A. Hernández-Cano, J. Naveja-Romero, A. Madariaga-Mazon, K. Martinez-Mayorga. “Molecular de novo design using context-free grammars”.
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[DAC 2021] A. Hernández-Cano, R. Cammarota, M. Imani. “PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems”.
> pdf <
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[DAC 2021] A. Hernández-Cano, M. Zhou, C. Zhou, X. Yin, M. Imani. “RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System”.
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[DATE 2021] A. Hernández-Cano, Y. Kim, M. Imani. “A Framework for Efficient and Binary Clustering in High-Dimensional Space”.
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[GLSVLSI 2021] A. Hernández-Cano, C. Zhuo, X. Yin, M. Imani. “Real-Time and Robust Hyperdimensional Classification”.
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[DATE 2021] A. Hernández-Cano, N. Matsumoto, E. Ping, M. Imani. “OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using Hyperdimensional System”.
Erratum: The encoding equation is wrong, please refer to equation 1 in “Real-Time and Robust Hyperdimensional Classification”.
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[AIP 2020] L. Hernández-Cano, A. Hernández-Cano, A. Leonor-Rivera. “Sleep staging by hyperdimensional dense networks”.
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(*) = Equal contributions.
Challenges
- [LauzHack 2022] 2nd place with the project Q0: An online platform for personalized study maps and adaptive learning content.
Teaching
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[2023] “Machine learning”. Student teaching assistant of the 2023rd edition of the Master’s machine learning course at EPFL.
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[2022] “Graph and Game Theory” (Gráficas y juegos). Teaching assistant of the course given in 2022 at UNAM.
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[2020] “Introduction to Machine Learning” (Introducción al Aprendizaje de Máquina). Teacher of 10-hour introductory course, presented online to students of the Institute of Chemistry of the Autonomus National University of Mexico (Instituto de Química, UNAM).
Fellowships
- [2019] ENLACE, UCSD. Summer Research program for high-school and bachelor students.
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