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SiBBlInGS: Similarity-driven Building-Block Inference using Graphs
  across States

SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States

7 June 2023
Noga Mudrik
Gal Mishne
Adam S. Charles
ArXivPDFHTML

Papers citing "SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States"

6 / 6 papers shown
Title
LINOCS: Lookahead Inference of Networked Operators for Continuous
  Stability
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability
Noga Mudrik
Eva Yezerets
Yenho Chen
Christopher Rozell
Adam S. Charles
AI4CE
22
4
0
28 Apr 2024
Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity
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
42
86
0
09 Sep 2021
Sparse Gaussian Process Variational Autoencoders
Sparse Gaussian Process Variational Autoencoders
Matthew Ashman
Jonathan So
Will Tebbutt
Vincent Fortuin
Michael Pearce
Richard E. Turner
14
33
0
20 Oct 2020
Co-manifold learning with missing data
Co-manifold learning with missing data
Gal Mishne
Eric C. Chi
Ronald R. Coifman
15
14
0
16 Oct 2018
Recurrent switching linear dynamical systems
Recurrent switching linear dynamical systems
Scott W. Linderman
Andrew C. Miller
Ryan P. Adams
David M. Blei
Liam Paninski
Matthew J. Johnson
34
68
0
26 Oct 2016
Demixed principal component analysis of population activity in higher
  cortical areas reveals independent representation of task parameters
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters
D. Kobak
Wieland Brendel
C. Constantinidis
C. Feierstein
Adam Kepecs
Z. Mainen
R. Romo
Xue-Lian Qi
N. Uchida
C. Machens
32
462
0
22 Oct 2014
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