Explaining 'Explaining Away'

By Michael P. Wellman, Max Henrion. 1993

Subfields: Probabilistic & Bayesian Methods, Cognitive Science & Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Probabilistic & Bayesian Methods

1. Zhuowen Tu
2. Gaurav Parmar
3. Weijian Xu
4. Viet-Hung Tran
5. Max Welling
6. Sepp Hochreiter
7. Ying Nian Wu
8. Yoshua Bengio

In Cognitive Science & Psychology

1. Max Welling

Citations in the corpus

• CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP (2021, background): “Explaining away is known in reasoning as the concept that the confirmation of one cause of an observed event dismisses alternative causes (Pearl, 1988; Wellman & Henrion, 1993).”
• Guided Variational Autoencoder for Disentanglement Learning (2020, background): “This is analogous to the excitationinhibition mechanism [43, 53] or the explaining-away [52] phenomena.”
• A two-phase method for extracting explanatory arguments from Bayesian networks (2017, background): “When the intercausal interaction creates a stronger correlation this is called explaining in [31].”