Bullo, Francesco

9 publications

ICLRW 2025 Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs Abed K. Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh, Francesco Bullo

NeurIPS 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K. Singh, Francesco Bullo

JMLR 2024 Non-Euclidean Monotone Operator Theory and Applications Alexander Davydov, Saber Jafarpour, Anton V. Proskurnikov, Francesco Bullo

NeurIPSW 2023 Retrieving $k$-Nearest Memories with Modern Hopfield Networks Alexander Davydov, Sean Jaffe, Ambuj Singh, Francesco Bullo

AISTATS 2022 A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows Pedro Cisneros-Velarde, Francesco Bullo

NeurIPS 2022 Physics-Informed Implicit Representations of Equilibrium Network Flows Kevin D. Smith, Francesco Seccamonte, Ananthram Swami, Francesco Bullo

L4DC 2022 Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach Saber Jafarpour, Matthew Abate, Alexander Davydov, Francesco Bullo, Samuel Coogan

ICLR 2021 Combining Physics and Machine Learning for Network Flow Estimation Arlei Lopes da Silva, Furkan Kocayusufoglu, Saber Jafarpour, Francesco Bullo, Ananthram Swami, Ambuj Singh

NeurIPS 2021 Robust Implicit Networks via Non-Euclidean Contractions Saber Jafarpour, Alexander Davydov, Anton Proskurnikov, Francesco Bullo