Density Preservation and Vector Quantization in Immune-Inspired Algorithms. - Alisson G. Azzolini; Ricardo P. V. Violato; Fernando J. Von Zuben (ICARIS, 2010)

Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets. - Ricardo P. V. Violato; Alisson G. Azzolini; Fernando J. Von Zuben (ICARIS, 2010)

Deep Learning Recommendation Model for Personalization and Recommendation Systems. - Maxim Naumov; Dheevatsa Mudigere; Hao-Jun Michael Shi; Jianyu Huang; Narayanan Sundaraman; Jongsoo Park; Xiaodong Wang 020; Udit Gupta; Carole-Jean Wu; Alisson G. Azzolini; Dmytro Dzhulgakov; Andrey Mallevich; et al. (CoRR, 2019)

ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. - Qinqing Zheng; Bor-Yiing Su; Jiyan Yang; Alisson G. Azzolini; Qiang Wu; Ou Jin; Shri Karandikar; Hagay Lupesko; Liang Xiong; Eric Zhou (CoRR, 2020)

Time-based Sequence Model for Personalization and Recommendation Systems. - Tigran Ishkhanov; Maxim Naumov; Xianjie Chen; Yan Zhu; Yuan Zhong; Alisson Gusatti Azzolini; Chonglin Sun; Frank Jiang 005; Andrey Malevich; Liang Xiong (CoRR, 2020)

PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. - Shen Li; Pritam Damania; Luca Wehrstedt; Rohan Varma; Omkar Salpekar; Pavel Belevich; Howard Huang; Yanli Zhao; Lucas Hosseini; Wanchao Liang; Hongyi Jia; Shihao Xu; et al. (MLSys, 2023)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - Alisson G. Azzolini; Hannah Brandon; Prithvijit Chattopadhyay; Huayu Chen; Jinju Chu; Yin Cui; Jenna Diamond; Yifan Ding; Francesco Ferroni; Rama Govindaraju; Jinwei Gu; Siddharth Gururani; et al. (CoRR, 2025)