Co-occurring keywords · papers mentioning both
Papers
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
WACV 2025
A Bayesian Approach to Data Point Selection
NeurIPS 2024
The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons
NeurIPS 2024
Expressive probabilistic sampling in recurrent neural networks
NeurIPS 2023
Energy-Based Generative Cooperative Saliency Prediction
AAAI 2022
Natural gradient enables fast sampling in spiking neural networks
NeurIPS 2022
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
ICML 2021
Fast Sampling-Based Inference in Balanced Neuronal Networks
NeurIPS 2014
Generalized Denoising Auto-Encoders as Generative Models
NeurIPS 2013