Il Memming Park

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 35

Top Topics

Neural Dynamics

Latent Variable Models

Top Venues

Publications

Matthew Dowling, Yuan Zhao, Il Memming Park
Large-scale variational Gaussian state-space models. CoRR (2024)
Ayesha Vermani, Il Memming Park, Josue Nassar
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data. ICLR (2024)
Matthew Dowling, Yuan Zhao, Il Memming Park
Real-time variational method for learning neural trajectory and its dynamics. ICLR (2023)
Il Memming Park, Ábel Ságodi, Piotr Aleksander Sokól
Persistent learning signals and working memory without continuous attractors. CoRR (2023)
Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park
Streaming Variational Monte Carlo. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Matthew Dowling, Yuan Zhao, Il Memming Park
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains. CoRR (2023)
Iris R. Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow
Spectral learning of Bernoulli linear dynamical systems models for decision-making. Trans. Mach. Learn. Res. 2023 (2023)
Iris R. Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow
Spectral learning of Bernoulli linear dynamical systems models for decision-making. CoRR (2023)
Matthew Dowling, Yuan Zhao, Il Memming Park
Real-Time Variational Method for Learning Neural Trajectory and its Dynamics. CoRR (2023)
Matthew Dowling, Yuan Zhao, Il Memming Park
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains. ICML (2023)
Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks (2021)
Matthew Dowling, Piotr A. Sokól, Il Memming Park
Hida-Matérn Kernel. CoRR (2021)
Ian D. Jordan, Piotr Aleksander Sokól, Il Memming Park
Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems. Frontiers Comput. Neurosci. 15 (2021)
Felix Pei, Joel Ye, David L. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR (2021)
Piotr Aleksander Sokól, Il Memming Park
Information Geometry of Orthogonal Initializations and Training. ICLR (2020)
Diego M. Arribas, Yuan Zhao, Il Memming Park
Rescuing neural spike train models from bad MLE. CoRR (2020)
Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee
Jointly Learning Visual Motion and Confidence from Local Patches in Event Cameras. ECCV (6) (2020)
Ian D. Jordan, Il Memming Park
Birhythmic Analog Circuit Maze: A Nonlinear Neurostimulation Testbed. Entropy 22 (5) (2020)
Diego M. Arribas, Yuan Zhao, Il Memming Park
Rescuing neural spike train models from bad MLE. NeurIPS (2020)
Yuan Zhao, Jacob L. Yates, Aaron J. Levi, Alexander C. Huk, Il Memming Park
Stimulus-choice (mis)alignment in primate area MT. PLoS Comput. Biol. 16 (5) (2020)
Josue Nassar, Piotr A. Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park
On 1/n neural representation and robustness. NeurIPS (2020)
Josue Nassar, Piotr Aleksander Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park
On 1/n neural representation and robustness. CoRR (2020)
Yuan Zhao, Il Memming Park
Variational Online Learning of Neural Dynamics. Frontiers Comput. Neurosci. 14 (2020)
Matthew Dowling, Yuan Zhao, Il Memming Park
Non-parametric generalized linear model. CoRR (2020)
David Hocker, Il Memming Park
Myopic control of neural dynamics. PLoS Comput. Biol. 15 (3) (2019)
Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park
Streaming Variational Monte Carlo. CoRR (2019)
Ian D. Jordan, Piotr Aleksander Sokól, Il Memming Park
Gated recurrent units viewed through the lens of continuous time dynamical systems. CoRR (2019)
Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. ICLR (Poster) (2019)
Piotr A. Sokól, Ian D. Jordan, Eben Kadile, Il Memming Park
Adjoint Dynamics of Stable Limit Cycle Neural Networks. ACSSC (2019)
Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. CoRR (2018)
Piotr A. Sokól, Il Memming Park
Information Geometry of Orthogonal Initializations and Training. CoRR (2018)
Josue Nassar, Scott W. Linderman, Yuan Zhao, Mónica F. Bugallo, Il Memming Park
Learning Structured Neural Dynamics From Single Trial Population Recording. ACSSC (2018)
Yuan Zhao, Il Memming Park
Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains. Neural Comput. 29 (5) (2017)
David Hocker, Il Memming Park
Multistep inference for generalized linear spiking models curbs runaway excitation. NER (2017)
Yuan Zhao, Il Memming Park
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories. NIPS (2016)
Anqi Wu, Il Memming Park, Jonathan W. Pillow
Convolutional spike-triggered covariance analysis for neural subunit models. NIPS (2015)
Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
Probabilistic kernel least mean squares algorithms. ICASSP (2014)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian entropy estimation for countable discrete distributions. J. Mach. Learn. Res. 15 (1) (2014)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian Entropy Estimation for Countable Discrete Distributions CoRR (2013)
Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe
Kernel Methods on Spike Train Space for Neuroscience: A Tutorial. IEEE Signal Process. Mag. 30 (4) (2013)
Il Memming Park, Evan Archer, Nicholas Priebe, Jonathan W. Pillow
Spectral methods for neural characterization using generalized quadratic models. NIPS (2013)
Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
Bayesian Extensions of Kernel Least Mean Squares. CoRR (2013)
Il Memming Park, Evan Archer, Kenneth W. Latimer, Jonathan W. Pillow
Universal models for binary spike patterns using centered Dirichlet processes. NIPS (2013)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data. Entropy 15 (5) (2013)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian entropy estimation for binary spike train data using parametric prior knowledge. NIPS (2013)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors. NIPS (2012)
Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe
Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences. Neural Comput. 24 (8) (2012)
Il Memming Park, Marcel Nassar, Mijung Park
Active Bayesian Optimization: Minimizing Minimizer Entropy CoRR (2012)
Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP (2011)
Il Memming Park, Jonathan W. Pillow
Bayesian Spike-Triggered Covariance Analysis. NIPS (2011)
Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe
A novel family of non-parametric cumulative based divergences for point processes. NIPS (2010)