Retrospective on the SENSORIUM 2022 competition. - Konstantin F. Willeke; Paul G. Fahey; Mohammad Bashiri; Laura Hansel; Christoph Blessing; Konstantin-Klemens Lurz; Max F. Burg; Santiago A. Cadena; Zhiwei Ding; Kayla Ponder; Taliah Muhammad; Saumil S. Patel; et al. (NeurIPS (Competition and Demos), 2021)

MixMask: Revisiting Masked Siamese Self-supervised Learning in Asymmetric Distance. - Kirill Vishniakov; Eric P. Xing; Zhiqiang Shen (CoRR, 2022)

MixMask: Revisiting Masking Strategy for Siamese ConvNets. - Kirill Vishniakov; Eric P. Xing; Zhiqiang Shen (BMVC, 2024)

Initializing Models with Larger Ones. - Zhiqiu Xu; Yanjie Chen; Kirill Vishniakov; Yida Yin; Zhiqiang Shen; Trevor Darrell; Lingjie Liu; Zhuang Liu 003 (ICLR, 2024)

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy. - Kirill Vishniakov; Zhiqiang Shen; Zhuang Liu 003 (ICML, 2024)

Gene42: Long-Range Genomic Foundation Model With Dense Attention. - Kirill Vishniakov; Boulbaba Ben Amor; Engin Tekin; Nancy A. ElNaker; Karthik Viswanathan; Aleksandr Medvedev; Aahan Singh; Maryam Nadeem; Mohammad Amaan Sayeed; Praveen K. Kanithi; Tiago Magalhaes; Natalia Vassilieva; et al. (CoRR, 2025)