Nick Alonso
I’m a researcher studying machine learning, interpretability, and computational neuroscience. I currently work at Goodfire, an interpretability focused research lab. For more information see my CV, about page, or github.
Email: nickalonso181 at gmail dot com
LinkedIn
CV
News
- Sept. – Started as member of technical staff at Goodfire!
- Sept. – New paper ‘How Local Mixing Encodes Relative Position in Global Attention‘
- Feb. – New paper ‘Online Vector Quantized Attention‘
Selected Publications and Preprints
Alonso, N., Figliolia, T., & Millidge, B. (2026). Online Vector Quantized Attention. arXiv preprint arXiv:2602.03922.
Alonso, N., & Millidge, B. (2024). Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG. arXiv preprint arXiv:2412.06078.
Alonso, N., & Krichmar, J. (2024). A Sparse Quantized Hopfield Network for Online-Continual Memory. Nature Communications.
Alonso, N., Krichmar, J., & Neftci, E. (2024). Understanding and Improving Optimization in Predictive Coding Networks. Proceedings of the AAAI conference on artificial intelligence (Selected for oral presentation)
Alonso, N., Millidge, B., Krichmar, J., & Neftci, E. O. (2022). A Theoretical Framework for Inference Learning. Advances in Neural Information Processing Systems, 35, 37335-37348.
