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Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks

Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks

11 February 2023
Mohit Prabhushankar
Ghassan Al-Regib
ArXivPDFHTML

Papers citing "Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks"

5 / 5 papers shown
Title
VOICE: Variance of Induced Contrastive Explanations to quantify
  Uncertainty in Neural Network Interpretability
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
Mohit Prabhushankar
Ghassan AlRegib
FAtt
UQCV
31
2
0
01 Jun 2024
Counterfactual Gradients-based Quantification of Prediction Trust in
  Neural Networks
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
UQCV
29
0
0
22 May 2024
Explainable Machine Learning for Hydrocarbon Prospect Risking
Explainable Machine Learning for Hydrocarbon Prospect Risking
Ahmad Mustafa
Ghassan AlRegib
17
2
0
15 Dec 2022
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Mohit Prabhushankar
Kiran Kokilepersaud
Yash-yee Logan
Stephanie Trejo Corona
Ghassan AlRegib
C. Wykoff
60
30
0
22 Sep 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural
  Networks
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
46
19
0
17 Sep 2022
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