conftrace_

latent dynamics

50 papers

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Co-occurring keywords

variational autoencoder (1288) model-based reinforcement learning (415) dynamical system (398) variational inference (2069) recurrent neural network (1790) gaussian process (1200) dimensionality reduction (720) neural datum (15) world model (189) time series (435)

Papers

Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations ICML 2021
Targeted Neural Dynamical Modeling NIPS 2021
Probabilistic Transformer For Time Series Analysis NIPS 2021
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces CVPR 2021
Entropic Desired Dynamics for Intrinsic Control NIPS 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NIPS 2021
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer CORL 2020
Stochastic Curiosity Exploration for Dialogue Systems INTERSPEECH 2020
Predictive Coding for Locally-Linear Control ICML 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
Deep reconstruction of strange attractors from time series NIPS 2020
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations NIPS 2020
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks UAI 2019
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series NIPS 2019
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling NIPS 2019
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NIPS 2019
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NIPS 2019
Learning Latent Dynamics for Planning from Pixels ICML 2019
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series NIPS 2019
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects EMNLP 2018
Disentangled Sequential Autoencoder ICML 2018
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NIPS 2015
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013