De Palma, Alessandro

6 publications

TMLR 2025 On Using Certified Training Towards Empirical Robustness Alessandro De Palma, Serge Durand, Zakaria Chihani, François Terrier, Caterina Urban

ICLR 2024 Expressive Losses for Verified Robustness via Convex Combinations Alessandro De Palma, Rudy R Bunel, Krishnamurthy Dj Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio

JMLR 2024 Scaling the Convex Barrier with Sparse Dual Algorithms Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H.S. Torr, M. Pawan Kumar

NeurIPS 2022 In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan K Mudigonda

ICLR 2021 Scaling the Convex Barrier with Active Sets Alessandro De Palma, Harkirat Behl, Rudy R Bunel, Philip Torr, M. Pawan Kumar

UAI 2020 Lagrangian Decomposition for Neural Network Verification Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip Torr, M. Pawan Kumar