Enabling hyperparameter optimization in sequential autoencoders for
spiking neural data

v1v2 (latest)

Enabling hyperparameter optimization in sequential autoencoders for spiking neural data

21 August 2019

Mohammad Reza Keshtkaran

ArXiv (abs)PDF HTML

Papers citing "Enabling hyperparameter optimization in sequential autoencoders for spiking neural data"

14 / 14 papers shown

Title
Brain-to-Text Benchmark '24: Lessons Learned Francis R. Willett Jingyuan Li Trung Le Chaofei Fan Mingfei Chen ... Maxwell Kounga E. Kelly Buchanan D. Zoltowski Scott W. Linderman Jaimie M. Henderson 60 1 0 23 Dec 2024
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes Jonathan D. McCart Andrew R. Sedler Christopher Versteeg Domenick M. Mifsud Mattia Rigotti-Thompson C. Pandarinath DiffM SyDa 71 1 0 30 Jul 2024
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution Yizi Zhang Yanchen Wang Donato Jimenez-Beneto Zixuan Wang Mehdi Azabou ... Olivier Winter The International Brain Laboratory Eva L. Dyer Liam Paninski Cole Hurwitz MedIm AI4CE 72 14 0 19 Jul 2024
Latent Diffusion for Neural Spiking Data J. Kapoor Auguste Schulz Julius Vetter Felix Pei Richard Gao Jakob H. Macke DiffM 59 3 0 27 Jun 2024
Embedding-Aligned Language Models Guy Tennenholtz Yinlam Chow Chih-Wei Hsu Lior Shani Ethan Liang Craig Boutilier AIFin 136 2 0 24 May 2024
Predictive variational autoencoder for learning robust representations of time-series data Julia Huiming Wang Dexter Tsin Tatiana Engel CML OOD AI4TS 77 2 0 12 Dec 2023
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems Andrew R. Sedler C. Pandarinath 67 8 0 03 Sep 2023
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
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 72 103 0 23 Nov 2021
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time Feng Zhu Andrew R. Sedler Harrison A. Grier Nauman Ahad Mark A. Davenport Matthew T. Kaufman Andrea Giovannucci C. Pandarinath 69 10 0 29 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
Representation learning for neural population activity with Neural Data Transformers Joel Ye C. Pandarinath AI4TS AI4CE 230 57 0 02 Aug 2021
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE Ding Zhou Xue-Xin Wei DRL 260 84 0 09 Nov 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 60 7 0 11 Jul 2020