Park, Il Memming

1. Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
   2021/09/09 by Felix Pei, Joel Ye, Pei, Felix +29 · 13 citations
   Neuroscience · #Neural dynamics and brain function #EEG and Brain-Computer Interfaces #Functional Brain Connectivity Studies
2. Black box variational inference for state space models
   2015/11/23 by Evan Archer, Archer, Evan, Il Memming Park +7 · 7 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Algorithms
3. Tree-Structured Recurrent Switching Linear Dynamical Systems for\n Multi-Scale Modeling
   2018/11/29 by Josue Nassar, Nassar, Josue, Scott W. Linderman +5 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Modeling and Simulation Systems #Neural Networks and Applications #Simulation Techniques and Applications
4. Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
   2016/08/23 by Yuan Zhao, Zhao, Yuan, Il Memming Park +1 · 2 citations
   Computer Science · Neuroscience · Physics and Astronomy · #FOS: Biological sciences #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
5. Persistent learning signals and working memory without continuous attractors
   2023/08/24 by Park, Il Memming, Ságodi, Ábel, Sokół, Piotr Aleksander · 3 citations
   #Adaptation and Self-Organizing Systems (nlin.AO) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
6. Bayesian Entropy Estimation for Countable Discrete Distributions
   2013/02/02 by Evan Archer, Archer, Evan, Il Memming Park +3 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Information Theory (cs.IT) #Statistical Methods and Inference
7. eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling
   2024/03/03 by Dowling, Matthew, Zhao, Yuan, Park, Il Memming · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. On 1/n neural representation and robustness
   2020/12/08 by Josue Nassar, Piotr Sokół, Nassar, Josue +7 · 1 citation
   Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function
9. Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
   2023/06/01 by Dowling, Matthew, Zhao, Yuan, Park, Il Memming · 1 citation
   #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
10. Information Geometry of Orthogonal Initializations and Training
    2018/10/09 by Piotr Sokół, Sokol, Piotr A., Il Memming Park +1 · 2 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
11. Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments
    2024/09/02 by Vermani, Ayesha, Dowling, Matthew, Jeon, Hyungju +6 · 1 citation
    #FOS: Biological sciences #Neurons and Cognition (q-bio.NC)
12. Meta-Dynamical State Space Models for Integrative Neural Data Analysis
    2024/10/07 by Vermani, Ayesha, Nassar, Josue, Jeon, Hyungju +2 · 1 citation
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)