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06/21/2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
Bayesian deep learning (BDL) is a promising approach to achieve well-cal...
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10/04/2022
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
Movement Primitives (MPs) are a well-known concept to represent and gene...
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09/23/2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
Variational inference with Gaussian mixture models (GMMs) enables learni...
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03/09/2022
What Matters For Meta-Learning Vision Regression Tasks?
Meta-learning is widely used in few-shot classification and function reg...
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05/14/2019
Trajectory-Based Off-Policy Deep Reinforcement Learning
Policy gradient methods are powerful reinforcement learning algorithms a...
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04/04/2019