Tree-Structured Recurrent Switching Linear Dynamical Systems for
Multi-Scale Modeling

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Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling

29 November 2018

Scott W. Linderman

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Papers citing "Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling"

17 / 17 papers shown

Title
Modeling Neural Activity with Conditionally Linear Dynamical Systems Victor Geadah Amin Nejatbakhsh David Lipshutz Jonathan W. Pillow Alex H. Williams AI4CE 285 0 0 25 Feb 2025
Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory Sascha Marton Moritz Schneider AI4CE 107 0 0 06 Feb 2025
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu D. Zoltowski Aditya Nair David Anderson Lea Duncker Scott W. Linderman 122 3 0 19 Jul 2024
Experimental study of Neural ODE training with adaptive solver for dynamical systems modeling A. Allauzen Thiago Petrilli Maffei Dardis Hannah Plath AI4CE 43 0 0 13 Nov 2022
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics Noga Mudrik Yenho Chen Eva Yezerets Christopher Rozell Adam S. Charles 87 16 0 07 Jun 2022
Mesoscopic modeling of hidden spiking neurons Shuqiao Wang Valentin Schmutz G. Bellec W. Gerstner 48 5 0 26 May 2022
Overcoming the Domain Gap in Neural Action Representations Semih Günel Florian Aymanns S. Honari Pavan Ramdya Pascal Fua 62 3 0 02 Dec 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 46 1 0 02 Nov 2021
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems Jimmy T.H. Smith Scott W. Linderman David Sussillo 116 30 0 01 Nov 2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 65 82 0 11 Oct 2021
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity Felix Pei Joel Ye D. Zoltowski Anqi Wu Raeed H. Chowdhury ... L. Miller Jonathan W. Pillow Il Memming Park Eva L. Dyer C. Pandarinath 296 90 0 09 Sep 2021
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds A. Draelos Pranjal Gupta Na Young Jun Chaichontat Sriworarat John M. Pearson AI4CE 13 3 0 31 Aug 2021
Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories M. Genkin Owen K. Hughes Tatiana A. Engel 67 24 0 29 Dec 2020
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting Amirreza Farnoosh Bahar Azari Sarah Ostadabbas BDL AI4TS 70 21 0 10 Sep 2020
Unifying and generalizing models of neural dynamics during decision-making D. Zoltowski Jonathan W. Pillow Scott W. Linderman 43 8 0 13 Jan 2020
Streaming Variational Monte Carlo Yuan Zhao Josue Nassar I. Jordan M. Bugallo Il Memming Park BDL 280 21 0 04 Jun 2019
Switching Linear Dynamics for Variational Bayes Filtering Philip Becker-Ehmck Jan Peters Patrick van der Smagt BDL 73 46 0 29 May 2019