Deep Random Splines for Point Process Intensity Estimation of Neural
Population Data

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Deep Random Splines for Point Process Intensity Estimation of Neural Population Data

6 March 2019

Gabriel Loaiza-Ganem

Sean M. Perkins

Karen E. Schroeder

Mark M. Churchland

John P. Cunningham

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Papers citing "Deep Random Splines for Point Process Intensity Estimation of Neural Population Data"

8 / 8 papers shown

Title
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation Yuda Shao Shan Yu Tianshu Feng 60 1 0 10 Mar 2024
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation Zhaoyan Liu Noël Vouitsis S. Gorti Jimmy Ba Gabriel Loaiza-Ganem ViT 68 1 0 26 Apr 2023
Learning Behavior Representations Through Multi-Timescale Bootstrapping Mehdi Azabou Michael J. Mendelson Maks Sorokin S. Thakoor Nauman Ahad Carolina Urzay Eva L. Dyer AI4CE 67 6 0 14 Jun 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 93 31 0 14 Apr 2022
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity Ran Liu Mehdi Azabou M. Dabagia Chi-Heng Lin M. G. Azar Keith B. Hengen Michal Valko Eva L. Dyer OCL SSL DRL 63 37 0 03 Nov 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
Long Horizon Forecasting With Temporal Point Processes Prathamesh Deshpande Kamlesh Marathe A. De Sunita Sarawagi AI4TS 114 21 0 08 Jan 2021
A Metric Space for Point Process Excitations Myrl G. Marmarelis Greg Ver Steeg Aram Galstyan 50 1 0 05 May 2020