| 2025 | ICLR | Meta-Dynamical State Space Models for Integrative Neural Data Analysis. | Ayesha Vermani, Josue Nassar, Hyungju Jeon, Matthew Dowling, Il Memming Park |
| 2024 | ICLR | Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data. | Ayesha Vermani, Il Memming Park, Josue Nassar |
| 2023 | ICLR | Real-time variational method for learning neural trajectory and its dynamics. | Matthew Dowling, Yuan Zhao, Il Memming Park |
| 2023 | ICML | Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains. | Matthew Dowling, Yuan Zhao, Il Memming Park |
| 2020 | ECCV | Jointly Learning Visual Motion and Confidence from Local Patches in Event Cameras. | Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee |
| 2020 | ICLR | Information Geometry of Orthogonal Initializations and Training. | Piotr Aleksander Sokl, Il Memming Park |
| 2019 | ACSSC | Adjoint Dynamics of Stable Limit Cycle Neural Networks. | Piotr A. Sokl, Ian D. Jordan, Eben Kadile, Il Memming Park |
| 2019 | ICLR | Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. | Josue Nassar, Scott W. Linderman, Mnica F. Bugallo, Il Memming Park |
| 2018 | ACSSC | Learning Structured Neural Dynamics From Single Trial Population Recording. | Josue Nassar, Scott W. Linderman, Yuan Zhao, Mnica F. Bugallo, Il Memming Park |
| 2014 | ICASSP | Probabilistic kernel least mean squares algorithms. | Il Memming Park, Sohan Seth, Steven Van Vaerenbergh |