A theory of the learnable

• Thermal-EXAMINER: IP Extraction from MAGIC Logic-in-Memory Using Thermal Side-Channel Attacks

  2025 IEEE Nordic Circuits and Systems Conference (NorCAS) conference-paper Computer Science Physical Unclonable Functions (PUFs) and Hardware Security

  0

  citations
• Double Descent in Quantum Kernel Methods

  2025 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

  1

  citations
• EXAMINER: IP Extraction Algorithm from MAGIC Logic-in-Memory

  2025 IEEE Computer Society Annual Symposium on VLSI conference-paper Computer Science Physical Unclonable Functions (PUFs) and Hardware Security

  1

  citations
• Approximately Learning Quantum Automata

  2023 Lecture notes in computer science conference-paper Computer Science semigroups and automata theory

  0

  citations
• On the Parameterized Complexity of Learning First-Order Logic

  2022 ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS) conference-paper Computer Science Advanced Graph Theory Research

  3

  citations
• Is there a role for statistics in artificial intelligence?

  2021 Advances in Data Analysis and Classification article Mathematics Statistics Education and Methodologies Open access

  76

  citations
• The Logic of Graph Neural Networks

  2021 Proceedings - Symposium on Logic in Computer Science conference-paper Computer Science Advanced Graph Neural Networks Open access

  50

  citations
• Learning Probabilistic Languages by k-Testable Machines

  2020 International Symposium on Theoretical Aspects of Software Engineering (TASE) conference-paper Computer Science semigroups and automata theory Open access

  4

  citations

8 results