1 citations · 1 across the 3 of their papers we have counts for
4 papers
Inferring Causal Relations between Two Sequences of Events with Language Models
Nishchal Prasad, Eric Gaussier, Emilie Devijver +3
Causal AI is a branch of Artificial Intelligence which helps understand and reason about cause and effect relationships, not just patterns or correlations. Causal discovery aims to…
Identifiability of total effects from abstractions of time series causal graphs
Charles K. Assaad, Emilie Devijver, Eric Gaussier +2
We study the problem of identifiability of the total effect of an intervention from observational time series in the situation, common in practice, where one only has access to abs…
Monotonic Prefix Consistency in Distributed Systems
Alain Girault, Gregor Gössler, Rachid Guerraoui +2
We study the issue of data consistency in distributed systems. Specifically, we consider a distributed system that replicates its data at multiple sites, which is prone to partitio…
Proceedings First Workshop on Causal Reasoning for Embedded and safety-critical Systems Technologies
Gregor Gössler, Oleg Sokolsky
Formal approaches for automated causality analysis, fault localization, explanation of events, accountability and blaming have been proposed independently by several communities --…