Lanzillotta, Giulia

9 publications

ICLR 2026 Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity Amir Joudaki, Giulia Lanzillotta, Mohammad Samragh, Seyed Iman Mirzadeh, Keivan Alizadeh, Thomas Hofmann, Mehrdad Farajtabar, Fartash Faghri

ICLR 2026 Heads Collapse, Features Stay: Why Replay Needs Big Buffers Giulia Lanzillotta, Damiano Meier, Thomas Hofmann

ICML 2025 The Importance of Being Lazy: Scaling Limits of Continual Learning Jacopo Graldi, Alessandro Breccia, Giulia Lanzillotta, Thomas Hofmann, Lorenzo Noci

NeurIPSW 2024 Exploring the Limits of Feature Learning in Continual Learning Jacopo Graldi, Giulia Lanzillotta, Lorenzo Noci, Benjamin F Grewe, Thomas Hofmann

CoLLAs 2024 Local vs Global Continual Learning Giulia Lanzillotta, Sidak Pal Singh, Benjamin F Grewe, Thomas Hofmann

NeurIPSW 2024 Testing Knowledge Distillation Theories with Dataset Size Giulia Lanzillotta, Felix Sarnthein, Gil Kur, Thomas Hofmann, Bobby He

NeurIPSW 2024 Testing the Limits of Data Efficiency in Experience Replay Damiano Meier, Giulia Lanzillotta, Thomas Hofmann

ICLRW 2023 Explaintable: Explaining Large Scale Models Applied to Tabular Data Javier Sanguino Bautiste, Tim Engelmann, Natalia Pato Montemayor, Louis Hart, Giulia Lanzillotta, Gregor Bachmann, Thomas Hofmann

ICLR 2023 Structure by Architecture: Structured Representations Without Regularization Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf