Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. - Cameron Diao; Denis Kleyko; Jan M. Rabaey; Bruno A. Olshausen (IJCNN, 2021)

MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning. - Cameron Diao; Kaixiong Zhou; Xiao Huang 001; Xia Hu 001 (CoRR, 2022)

Relational Attention: Generalizing Transformers for Graph-Structured Tasks. - Cameron Diao; Ricky Loynd (ICLR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

CodonMPNN for Organism Specific and Codon Optimal Inverse Folding. - Hannes Stark; Umesh Padia; Julia Balla; Cameron Diao; George Church (CoRR, 2024)