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q-VAE for Disentangled Representation Learning and Latent Dynamical
  Systems
v1v2v3 (latest)

q-VAE for Disentangled Representation Learning and Latent Dynamical Systems

IEEE Robotics and Automation Letters (RA-L), 2020
4 March 2020
Taisuke Kobayashis
    BDLDRL
ArXiv (abs)PDFHTML

Papers citing "q-VAE for Disentangled Representation Learning and Latent Dynamical Systems"

10 / 10 papers shown
Moving Out: Physically-grounded Human-AI Collaboration
Moving Out: Physically-grounded Human-AI Collaboration
Xuhui Kang
Sung-Wook Lee
Haolin Liu
Yuyan Wang
Yen-Ling Kuo
491
0
0
24 Jul 2025
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy
Variational Inference Optimized Using the Curved Geometry of Coupled Free EnergyArtificial General Intelligence (AGI), 2025
Kenric Nelson
Igor Oliveira
Amenah Al-Najafi
Fode Zhang
Hon Keung Tony Ng
DRL
390
3
0
10 Jun 2025
An artificial neural network-based system for detecting machine failures
  using tiny sound data: A case study
An artificial neural network-based system for detecting machine failures using tiny sound data: A case studyIEEE International Symposium on Multimedia (ISM), 2022
Thanh Tran
S. Bader
J. Lundgren
231
1
0
23 Sep 2022
Sparse Representation Learning with Modified q-VAE towards Minimal
  Realization of World Model
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Taisuke Kobayashi
Ryoma Watanuki
DRL
326
7
0
08 Aug 2022
AdaTerm: Adaptive T-Distribution Estimated Robust Moments for
  Noise-Robust Stochastic Gradient Optimization
AdaTerm: Adaptive T-Distribution Estimated Robust Moments for Noise-Robust Stochastic Gradient OptimizationNeurocomputing (Neurocomputing), 2022
Wendyam Eric Lionel Ilboudo
Taisuke Kobayashi
Takamitsu Matsubara
413
18
0
18 Jan 2022
Towards Autonomous Driving of Personal Mobility with Small and Noisy
  Dataset using Tsallis-statistics-based Behavioral Cloning
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
Taisuke Kobayashi
Takahito Enomoto
255
3
0
29 Nov 2021
Learn Proportional Derivative Controllable Latent Space from Pixels
Learn Proportional Derivative Controllable Latent Space from Pixels
Weiyao Wang
Marin Kobilarov
Gregory Hager
329
1
0
15 Oct 2021
q-Paths: Generalizing the Geometric Annealing Path using Power Means
q-Paths: Generalizing the Geometric Annealing Path using Power Means
Vaden Masrani
Rob Brekelmans
T. Bui
Frank Nielsen
Aram Galstyan
Greg Ver Steeg
Frank Wood
492
19
0
01 Jul 2021
Error Autocorrelation Objective Function for Improved System Modeling
Error Autocorrelation Objective Function for Improved System Modeling
Anand Ramakrishnan
Warren B.Jackson
Kent Evans
DRL
211
1
0
08 Aug 2020
Towards Deep Robot Learning with Optimizer applicable to Non-stationary
  Problems
Towards Deep Robot Learning with Optimizer applicable to Non-stationary ProblemsIEEE/SICE International Symposium on System Integration (SII), 2020
Taisuke Kobayashi
ODL
186
9
0
31 Jul 2020
1
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