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ORCIDIl Park 0002
- > Home > Persons > Il Park 0002
Publications
- 2021
[j17]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: 678158 (2021)
- [c27]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 - [i12]Matthew Dowling, Piotr A. Sokól, Il Memming Park:
Hida-Matérn Kernel. CoRR abs/2107.07098 (2021) - [i11]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. CoRR abs/2109.04463 (2021) - 2020
- [j16]Ian D. Jordan, Il Memming Park
:
Birhythmic Analog Circuit Maze: A Nonlinear Neurostimulation Testbed. Entropy 22(5): 537 (2020) - [j15]Yuan Zhao, Il Memming Park:
Variational Online Learning of Neural Dynamics. Frontiers Comput. Neurosci. 14: 71 (2020) - [j14]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) - [c26]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: 500-516 - [c25]Piotr Aleksander Sokól, Il Memming Park:
Information Geometry of Orthogonal Initializations and Training. ICLR 2020 - [c24]Diego M. Arribas, Yuan Zhao, Il Memming Park:
Rescuing neural spike train models from bad MLE. NeurIPS 2020 - [c23]Josue Nassar, Piotr A. Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park:
On 1/n neural representation and robustness. NeurIPS 2020 - [i10]Matthew Dowling, Yuan Zhao, Il Memming Park:
Non-parametric generalized linear model. CoRR abs/2009.01362 (2020) - [i9]Diego M. Arribas, Yuan Zhao, Il Memming Park:
Rescuing neural spike train models from bad MLE. CoRR abs/2010.12362 (2020) - [i8]Josue Nassar, Piotr Aleksander Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park:
On 1/n neural representation and robustness. CoRR abs/2012.04729 (2020) - 2019
- [c22]Piotr A. Sokól, Ian D. Jordan, Eben Kadile, Il Memming Park:
Adjoint Dynamics of Stable Limit Cycle Neural Networks. ACSSC 2019: 884-887 - [c21]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 - [i7]Ian D. Jordan, Piotr Aleksander Sokól, Il Memming Park:
Gated recurrent units viewed through the lens of continuous time dynamical systems. CoRR abs/1906.01005 (2019) - [i6]Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park:
Streaming Variational Monte Carlo. CoRR abs/1906.01549 (2019) - 2018
- [c20]Josue Nassar, Scott W. Linderman, Yuan Zhao, Mónica F. Bugallo, Il Memming Park:
Learning Structured Neural Dynamics From Single Trial Population Recording. ACSSC 2018: 666-670 - [i5]Piotr A. Sokól, Il Memming Park:
Information Geometry of Orthogonal Initializations and Training. CoRR abs/1810.03785 (2018) - [i4]Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park:
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. CoRR abs/1811.12386 (2018) - 2017
- [j12]Yuan Zhao, Il Memming Park:
Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains. Neural Comput. 29(5): 1293-1316 (2017) - 2016
- [c18]Yuan Zhao, Il Memming Park:
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories. NIPS 2016: 3333-3341 - 2015
- [c17]Anqi Wu, Il Memming Park, Jonathan W. Pillow:
Convolutional spike-triggered covariance analysis for neural subunit models. NIPS 2015: 793-801 - 2014
- [j11]Evan Archer, Il Memming Park, Jonathan W. Pillow:
Bayesian entropy estimation for countable discrete distributions. J. Mach. Learn. Res. 15(1): 2833-2868 (2014) - 2013
- [j10]Evan Archer, Il Memming Park, Jonathan W. Pillow:
Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data. Entropy 15(5): 1738-1755 (2013) - [c15]Evan Archer, Il Memming Park, Jonathan W. Pillow:
Bayesian entropy estimation for binary spike train data using parametric prior knowledge. NIPS 2013: 1700-1708 - [c14]Il Memming Park, Evan Archer, Nicholas Priebe, Jonathan W. Pillow:
Spectral methods for neural characterization using generalized quadratic models. NIPS 2013: 2454-2462 - [c13]Il Memming Park, Evan Archer, Kenneth W. Latimer, Jonathan W. Pillow:
Universal models for binary spike patterns using centered Dirichlet processes. NIPS 2013: 2463-2471 - [i3]Evan Archer, Il Memming Park, Jonathan W. Pillow:
Bayesian Entropy Estimation for Countable Discrete Distributions. CoRR abs/1302.0328 (2013) - 2012
- [c12]Evan Archer, Il Memming Park, Jonathan W. Pillow:
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors. NIPS 2012: 2024-2032 - [i1]Il Memming Park, Marcel Nassar, Mijung Park:
Active Bayesian Optimization: Minimizing Minimizer Entropy. CoRR abs/1202.2143 (2012) - 2011
- [c9]Il Memming Park, Jonathan W. Pillow:
Bayesian Spike-Triggered Covariance Analysis. NIPS 2011: 1692-1700
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