Showing 1–20 of 33 results
/ Date/ Name
Jan 13, 2022Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture ModelsNov 14, 2014A framework for studying synaptic plasticity with neural spike train dataJun 25, 2025Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordingsFeb 12, 2025A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution DetectionAug 9, 2022Simplified State Space Layers for Sequence ModelingJan 13, 2020Unifying and generalizing models of neural dynamics during decision-makingNov 29, 2018Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale ModelingJun 18, 2015Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationJul 12, 2015Scalable Bayesian Inference for Excitatory Point Process NetworksJul 10, 2024Towards a theory of learning dynamics in deep state space modelsDec 23, 2024Brain-to-Text Benchmark '24: Lessons LearnedDec 25, 2025An Information Theoretic Perspective on Agentic System DesignSep 26, 2025A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical SystemsJun 5, 2023Switching Autoregressive Low-rank Tensor ModelsJan 20, 2021Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic trainingMay 31, 2017Variational Sequential Monte CarloOct 18, 2016Reparameterization Gradients through Acceptance-Rejection Sampling AlgorithmsOct 27, 2021Generalized Shape Metrics on Neural RepresentationsFeb 4, 2014Discovering Latent Network Structure in Point Process DataNov 27, 2014A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation