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07/27/2023
Simplified Concrete Dropout – Improving the Generation of Attribution Masks for Fine-grained Classification
Fine-grained classification is a particular case of a classification pro...
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09/23/2022
Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding
Estimating causal effects from observational data in the presence of lat...
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07/08/2022
Causal Discovery using Model Invariance through Knockoff Interventions
Cause-effect analysis is crucial to understand the underlying mechanism ...
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09/22/2021
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals
Estimating causal relations is vital in understanding the complex intera...
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09/14/2021
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning
There are numerous methods for detecting anomalies in time series, but t...
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02/01/2021
Counterfactual Generation with Knockoffs
Human interpretability of deep neural networks' decisions is crucial, es...
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12/16/2020
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study
Identifying the direction of emotional influence in a dyadic dialogue is...
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10/29/2018
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality
Human nonverbal emotional communication in dyadic dialogs is a process o...
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09/09/2016