Jack Goffinet

Links

• Google Scholar
• Github

Papers

• Goffinet, J., Hanks, C., & Carlson, D. E. (2026). Torus Graphs for Large Scale Neural Phase Analysis.
• Goffinet, J., Hanks, C., & Carlson, D. E. (2026). HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models. arXiv. [arXiv]
• Goffinet, J., Min, Y., Tomasi, C., & Carlson, D. E. (2025). Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance. NeurIPS. [arXiv] [Paper] [Repo] [Data]
• Walder-Christensen, K. K., Goffinet, J., Bey, A. L., ... & Dzirasa, K. (2025). Sleep-wake states are encoded across emotion-regulation regions of the mouse brain. eNeuro. [Paper] [bioRxiv]
• Goffinet, J., & Carlson, D. E. (2022). Variational Bayesian Inference and Learning for Continuous Switching Linear Dynamical Systems. NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems. [PDF]
• Singh Alvarado, J., Goffinet, J., Michael, V., Liberti, W., Hatfield, J., Gardner, T., Pearson, J., & Mooney, R. (2021). Neural dynamics underlying birdsong practice and performance. Nature, 1-5. [URL] [Repo] [PDF]
• de Albuquerque, D.F., Goffinet, J., Wright, R., & Pearson, J. (2021). Deep generative analysis of task-based functional MRI experiments. In Machine Learning for Health Care. JMLR. [PDF] [Repo]
• Goffinet, J., Brudner, S., Mooney, R., Pearson, J. (2021). Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires. eLife. [URL] [Repo]
• Michael, V., Goffinet, J., Pearson, J., Wang, F., Mooney, R., Tschida, K. (2020). Circuit and synaptic organization of forebrain-to-midbrain pathways that promote and suppress vocalization. eLife. [URL] [Repo]
• Goffinet, J. Little evidence for the vocal similarity hypothesis. Proceedings of the National Academy of Sciences. 115.22 (2018): E4957-E4957 [URL] [PDF] [Repo]
• Goffinet, J. (2018). The Emergence of Music Universals through Iterated Pitch Learning: A Pilot Study. [PDF] [Repo]
• Goffinet, J., & Ramanujan, R. (2016). Monte-carlo tree search for the maximum satisfiability problem. International Conference on the Principles and Practice of Constraint Programming. Springer, Cham. [URL] [PDF] [Repo]