Sandeep Gupta

SVM-PDD outperforms traditional classifiers in detecting poisoned data, ensuring the integrity of self-supervised datasets crucial for robust foundation models.

EMMA outperforms traditional methods by seamlessly integrating multiple data modalities to recover dynamical parameters without requiring prior knowledge of system conditions.