Park, Il Memming

11 publications

ICLR 2025 Meta-Dynamical State Space Models for Integrative Neural Data Analysis Ayesha Vermani, Josue Nassar, Hyungju Jeon, Matthew Dowling, Il Memming Park

NeurIPS 2024 Back to the Continuous Attractor Ábel Ságodi, Guillermo Martín-Sánchez, Piotr Sokół, Il Memming Park

ICLR 2024 Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data Ayesha Vermani, Il Memming Park, Josue Nassar

NeurIPS 2024 eXponential FAmily Dynamical Systems (XFADS): Large-Scale Nonlinear Gaussian State-Space Modeling Matthew Dowling, Yuan Zhao, Il Memming Park

ICML 2023 Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains Matthew Dowling, Yuan Zhao, Il Memming Park

ICLR 2023 Real-Time Variational Method for Learning Neural Trajectory and Its Dynamics Matthew Dowling, Yuan Zhao, Il Memming Park

TMLR 2023 Spectral Learning of Bernoulli Linear Dynamical Systems Models for Decision-Making Iris R Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow

ICLR 2020 Information Geometry of Orthogonal Initializations and Training Piotr A. Sokol, Il Memming Park

ECCV 2020 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

ICLR 2019 Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling Josue Nassar, Scott Linderman, Monica Bugallo, Il Memming Park

JMLR 2014 Bayesian Entropy Estimation for Countable Discrete Distributions Evan Archer, Il Memming Park, Jonathan W. Pillow