4 papers
Structural Adversarial Attacks on Relational Deep Learning under Integrity Constraints
Alan Gany, Bogdan Cautis, Silviu Maniu
Relational Deep Learning (RDL) has become a standard methodology for machine learning on relational databases: the database is encoded as a heterogeneous temporal graph in which tu…
ProvSQL: A General System for Keeping Track of the Provenance and Probability of Data
Aryak Sen, Silviu Maniu, Pierre Senellart
We present the data model, design choices, and performance of ProvSQL, a general and easy-to-deploy provenance tracking and probabilistic database system implemented as a PostgreSQ…
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
Maxime Méloux, Silviu Maniu, François Portet +1
As AI systems are used in high-stakes applications, ensuring interpretability is crucial. Mechanistic Interpretability (MI) aims to reverse-engineer neural networks by extracting h…
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs
Philips George John, Arnab Bhattacharyya, Silviu Maniu +2
Reinforcement learning algorithms are usually stated without theoretical guarantees regarding their performance. Recently, Jin, Yang, Wang, and Jordan (COLT 2020) showed a polynomi…