A growing body of work has begun to study intervention design for efficient structure learning of causal directed acyclic graphs (DAGs).

Current state-of-the-art document retrieval solutions mainly follow an indexretrieve paradigm, where the index is hard to be directly optimized for the final retrieval target.

These authors contributed equally to this work 38th Conference on Neural Information Processing Systems (NeurIPS 2024).

Inthis work, we study Transformer-based models for brain network analysis.

Adepiction 4. The architecture 2. Ourf is

Thesemodels typically assume that all event sequences come from the same data distribution.

Vanilla training canbeconsidered asaspecial case where no perturbation is allowed, i.e., zero adversarial budget. Therefore, we focus on the impact of the adversarial budget size on the loss landscape.