Il Memming Park

56 papers A* 7Misc 3Journal 31Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Meta-Dynamical State Space Models for Integrative Neural Data Analysis. ICLR Ayesha Vermani, Josue Nassar, Hyungju Jeon, Matthew Dowling, Il Memming Park
2024	J	`jnl`	Back to the Continuous Attractor. CoRR Ábel Ságodi, Guillermo Martín-Sánchez, Piotr A. Sokól, Il Memming Park
2024	J	`jnl`	Large-scale variational Gaussian state-space models. CoRR Matthew Dowling, Yuan Zhao, Il Memming Park
2024	A*	`conf`	Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data. ICLR Ayesha Vermani, Il Memming Park, Josue Nassar
2024	J	`jnl`	Meta-Dynamical State Space Models for Integrative Neural Data Analysis. CoRR Ayesha Vermani, Josue Nassar, Hyungju Jeon, Matthew Dowling, Il Memming Park
2024	—	`conf`	Quantifying Signal-to-Noise Ratio in Neural Latent Trajectories via Fisher Information. EUSIPCO Hyungju Jeon, Il Memming Park
2024	—	`conf`	Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments. EUSIPCO Ayesha Vermani, Matthew Dowling, Hyungju Jeon, Ian D. Jordan, Josue Nassar, Yves Bernaerts, Yuan Zhao, Steven Van Vaerenbergh, Il Memming Park
2023	A*	`conf`	Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains. ICML Matthew Dowling, Yuan Zhao, Il Memming Park
2023	J	`jnl`	Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains. CoRR Matthew Dowling, Yuan Zhao, Il Memming Park
2023	J	`jnl`	Persistent learning signals and working memory without continuous attractors. CoRR Il Memming Park, Ábel Ságodi, Piotr Aleksander Sokól
2023	J	`jnl`	Real-Time Variational Method for Learning Neural Trajectory and its Dynamics. CoRR Matthew Dowling, Yuan Zhao, Il Memming Park
2023	A*	`conf`	Real-time variational method for learning neural trajectory and its dynamics. ICLR Matthew Dowling, Yuan Zhao, Il Memming Park
2023	J	`jnl`	Spectral learning of Bernoulli linear dynamical systems models for decision-making. CoRR Iris R. Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow
2023	J	`jnl`	Spectral learning of Bernoulli linear dynamical systems models for decision-making. Trans. Mach. Learn. Res. Iris R. Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow
2023	J	`jnl`	Streaming Variational Monte Carlo. IEEE Trans. Pattern Anal. Mach. Intell. Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park
2021	J	`jnl`	Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems. Frontiers Comput. Neurosci. Ian D. Jordan, Piotr Aleksander Sokól, Il Memming Park
2021	J	`jnl`	Hida-Matérn Kernel. CoRR Matthew Dowling, Piotr A. Sokól, Il Memming Park
2021	—	`conf`	Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR 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
2020	J	`jnl`	Birhythmic Analog Circuit Maze: A Nonlinear Neurostimulation Testbed. Entropy Ian D. Jordan, Il Memming Park
2020	A*	`conf`	Information Geometry of Orthogonal Initializations and Training. ICLR Piotr Aleksander Sokól, Il Memming Park
2020	—	`conf`	Jointly Learning Visual Motion and Confidence from Local Patches in Event Cameras. ECCV (6) Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee
2020	J	`jnl`	Non-parametric generalized linear model. CoRR Matthew Dowling, Yuan Zhao, Il Memming Park
2020	A*	`conf`	On 1/n neural representation and robustness. NeurIPS Josue Nassar, Piotr A. Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park
2020	J	`jnl`	On 1/n neural representation and robustness. CoRR Josue Nassar, Piotr Aleksander Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park
2020	A*	`conf`	Rescuing neural spike train models from bad MLE. NeurIPS Diego M. Arribas, Yuan Zhao, Il Memming Park
2020	J	`jnl`	Rescuing neural spike train models from bad MLE. CoRR Diego M. Arribas, Yuan Zhao, Il Memming Park
2020	J	`jnl`	Stimulus-choice (mis)alignment in primate area MT. PLoS Comput. Biol. Yuan Zhao, Jacob L. Yates, Aaron J. Levi, Alexander C. Huk, Il Memming Park
2020	J	`jnl`	Variational Online Learning of Neural Dynamics. Frontiers Comput. Neurosci. Yuan Zhao, Il Memming Park
2019	Misc	`conf`	Adjoint Dynamics of Stable Limit Cycle Neural Networks. ACSSC Piotr A. Sokól, Ian D. Jordan, Eben Kadile, Il Memming Park
2019	J	`jnl`	Gated recurrent units viewed through the lens of continuous time dynamical systems. CoRR Ian D. Jordan, Piotr Aleksander Sokól, Il Memming Park
2019	J	`jnl`	Myopic control of neural dynamics. PLoS Comput. Biol. David Hocker, Il Memming Park
2019	J	`jnl`	Streaming Variational Monte Carlo. CoRR Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park
2019	—	`conf`	Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. ICLR (Poster) Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park
2018	J	`jnl`	Information Geometry of Orthogonal Initializations and Training. CoRR Piotr A. Sokól, Il Memming Park
2018	Misc	`conf`	Learning Structured Neural Dynamics From Single Trial Population Recording. ACSSC Josue Nassar, Scott W. Linderman, Yuan Zhao, Mónica F. Bugallo, Il Memming Park
2018	J	`jnl`	Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling. CoRR Josue Nassar, Scott W. Linderman, Mónica F. Bugallo, Il Memming Park
2017	—	`conf`	Multistep inference for generalized linear spiking models curbs runaway excitation. NER David Hocker, Il Memming Park
2017	J	`jnl`	Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains. Neural Comput. Yuan Zhao, Il Memming Park
2016	—	`conf`	Interpretable Nonlinear Dynamic Modeling of Neural Trajectories. NIPS Yuan Zhao, Il Memming Park
2015	—	`conf`	Convolutional spike-triggered covariance analysis for neural subunit models. NIPS Anqi Wu, Il Memming Park, Jonathan W. Pillow
2014	J	`jnl`	Bayesian entropy estimation for countable discrete distributions. J. Mach. Learn. Res. Evan Archer, Il Memming Park, Jonathan W. Pillow
2014	Misc	`conf`	Probabilistic kernel least mean squares algorithms. ICASSP Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
2013	J	`jnl`	Bayesian Entropy Estimation for Countable Discrete Distributions CoRR Evan Archer, Il Memming Park, Jonathan W. Pillow
2013	J	`jnl`	Bayesian Extensions of Kernel Least Mean Squares. CoRR Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
2013	J	`jnl`	Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data. Entropy Evan Archer, Il Memming Park, Jonathan W. Pillow
2013	—	`conf`	Bayesian entropy estimation for binary spike train data using parametric prior knowledge. NIPS Evan Archer, Il Memming Park, Jonathan W. Pillow
2013	J	`jnl`	Kernel Methods on Spike Train Space for Neuroscience: A Tutorial. IEEE Signal Process. Mag. Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe
2013	—	`conf`	Spectral methods for neural characterization using generalized quadratic models. NIPS Il Memming Park, Evan Archer, Nicholas Priebe, Jonathan W. Pillow
2013	—	`conf`	Universal models for binary spike patterns using centered Dirichlet processes. NIPS Il Memming Park, Evan Archer, Kenneth W. Latimer, Jonathan W. Pillow
2012	J	`jnl`	Active Bayesian Optimization: Minimizing Minimizer Entropy CoRR Il Memming Park, Marcel Nassar, Mijung Park
2012	—	`conf`	Bayesian estimation of discrete entropy with mixtures of stick-breaking priors. NIPS Evan Archer, Il Memming Park, Jonathan W. Pillow
2012	J	`jnl`	Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences. Neural Comput. Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe
2011	—	`conf`	An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2011	—	`conf`	Bayesian Spike-Triggered Covariance Analysis. NIPS Il Memming Park, Jonathan W. Pillow
2010	—	`conf`	A novel family of non-parametric cumulative based divergences for point processes. NIPS Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe