Alessandro De Palma

23 papers A* 3A 2B 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Better Certified Models from Empirically-Robust Teachers.
CoRR
Alessandro De Palma
2025 J jnl
Faster Verified Explanations for Neural Networks.
CoRR
Alessandro De Palma, Greta Dolcetti, Caterina Urban
2025 J jnl
On Using Certified Training towards Empirical Robustness.
Trans. Mach. Learn. Res.
Alessandro De Palma, Serge Durand, Zakaria Chihani, François Terrier, Caterina Urban
2025 — conf
Robustness to Perturbations in the Frequency Domain: Neural Network Verification and Certified Training.
WACV (Workshops)
Harleen Hanspal, Alessandro De Palma, Alessio Lomuscio
2024 A* conf
Expressive Losses for Verified Robustness via Convex Combinations.
ICLR
Alessandro De Palma, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
2024 J jnl
On Using Certified Training towards Empirical Robustness.
CoRR
Alessandro De Palma, Serge Durand, Zakaria Chihani, François Terrier, Caterina Urban
2024 J jnl
Scaling the Convex Barrier with Sparse Dual Algorithms.
J. Mach. Learn. Res.
Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar
2024 A conf
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation.
ECAI
Ben Batten, Yang Zheng, Alessandro De Palma, Panagiotis Kouvaros, Alessio Lomuscio
2024 J jnl
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation.
CoRR
Ben Batten, Yang Zheng, Alessandro De Palma, Panagiotis Kouvaros, Alessio Lomuscio
2024 J jnl
Verified Neural Compressed Sensing.
CoRR
Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Alessandro De Palma, Robert Stanforth
2023 J jnl
Expressive Losses for Verified Robustness via Convex Combinations.
CoRR
Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
2022 J jnl
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound.
CoRR
Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth
2022 A* conf
In Defense of the Unitary Scalarization for Deep Multi-Task Learning.
NeurIPS
Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan Kumar Mudigonda
2022 J jnl
In Defense of the Unitary Scalarization for Deep Multi-Task Learning.
CoRR
Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar
2021 J jnl
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition.
CoRR
Alessandro De Palma, Rudy Bunel, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
2021 A* conf
Scaling the Convex Barrier with Active Sets.
ICLR
Alessandro De Palma, Harkirat S. Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar
2021 J jnl
Scaling the Convex Barrier with Sparse Dual Algorithms.
CoRR
Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar
2020 A conf
Lagrangian Decomposition for Neural Network Verification.
UAI
Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
2020 J jnl
Lagrangian Decomposition for Neural Network Verification.
CoRR
Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
2019 J jnl
Sampling Acquisition Functions for Batch Bayesian Optimization.
CoRR
Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis
2018 J jnl
Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms.
CoRR
Andreea Anghel, Nikolaos Papandreou, Thomas P. Parnell, Alessandro De Palma, Haralampos Pozidis
2018 B conf
Communication-avoiding parallel minimum cuts and connected components.
PPoPP
Lukas Gianinazzi, Pavel Kalvoda, Alessandro De Palma, Maciej Besta, Torsten Hoefler
2017 J jnl
Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud.
CoRR
Alessandro De Palma, Erik Hemberg, Una-May O'Reilly