| 2025 | ICML | Flow-field inference from neural data using deep recurrent networks. | Timothy Doyeon Kim, Thomas Zhihao Luo, Tankut Can, Kamesh Krishnamurthy, Jonathan W. Pillow, Carlos D. Brody |
| 2024 | ICLR | Parsing neural dynamics with infinite recurrent switching linear dynamical systems. | Victor Geadah, International Brain Laboratory, Jonathan W. Pillow |
| 2024 | ICLR | Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems. | Orren Karniol-Tambour, David M. Zoltowski, E. Mika Diamanti, Lucas Pinto, Carlos D. Brody, David W. Tank, Jonathan W. Pillow |
| 2021 | ICML | Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction. | Aditi Jha, Michael J. Morais, Jonathan W. Pillow |
| 2021 | ICML | Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations. | Timothy Doyeon Kim, Thomas Zhihao Luo, Jonathan W. Pillow, Carlos D. Brody |
| 2020 | ICML | Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations. | Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Spencer L. Smith, Jonathan W. Pillow |
| 2020 | ICML | A general recurrent state space framework for modeling neural dynamics during decision-making. | David M. Zoltowski, Jonathan W. Pillow, Scott W. Linderman |
| 2017 | ICASSP | Stochastic filtering of two-photon imaging using reweighted ℓ1. | Adam S. Charles, Alexander Song, Sue Ann Koay, David W. Tank, Jonathan W. Pillow |
| 2013 | AISTATS | Bayesian Structure Learning for Functional Neuroimaging. | Mijung Park, Oluwasanmi Koyejo, Joydeep Ghosh, Russell A. Poldrack, Jonathan W. Pillow |