Magazzeni, Daniele

31 publications

AAAI 2024 Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
IJCAI 2024 Are Logistic Models Really Interpretable? Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni
ICML 2024 Counterfactual Metarules for Local and Global Recourse Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso
NeurIPS 2024 Fair Wasserstein Coresets Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lecue, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
ICML 2024 Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions Sanjay Kariyappa, Freddy Lecue, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
AAAI 2024 SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
NeurIPS 2024 Sequential Harmful Shift Detection Without Labels Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lecue, Daniele Magazzeni, Manuela Veloso
IJCAI 2023 A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract) Stylianos Loukas Vasileiou, William Yeoh, Son Tran, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni
AISTATS 2023 Bayesian Hierarchical Models for Counterfactual Estimation Natraj Raman, Daniele Magazzeni, Sameena Shah
NeurIPS 2023 Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions Leonidas Tsepenekas, Ivan Brugere, Freddy Lecue, Daniele Magazzeni
ICML 2023 GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations Dan Ley, Saumitra Mishra, Daniele Magazzeni
ICML 2023 Robust Counterfactual Explanations for Neural Networks with Probabilistic Guarantees Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta
ICMLW 2023 Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
JAIR 2022 A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni
ICLRW 2022 Global Counterfactual Explanations: Investigations, Implementations and Improvements Dan Ley, Saumitra Mishra, Daniele Magazzeni
AAAI 2022 Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
ICML 2022 Robust Counterfactual Explanations for Tree-Based Ensembles Sanghamitra Dutta, Jason Long, Saumitra Mishra, Cecilia Tilli, Daniele Magazzeni
JAIR 2021 Contrastive Explanations of Plans Through Model Restrictions Benjamin Krarup, Senka Krivic, Daniele Magazzeni, Derek Long, Michael Cashmore, David E. Smith
AAAI 2020 A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning Rebecca Eifler, Michael Cashmore, Jörg Hoffmann, Daniele Magazzeni, Marcel Steinmetz
AAAI 2020 Let's Learn Their Language? a Case for Planning with Automata-Network Languages from Model Checking Jörg Hoffmann, Holger Hermanns, Michaela Klauck, Marcel Steinmetz, Erez Karpas, Daniele Magazzeni
JAIR 2020 Planning for Hybrid Systems via Satisfiability Modulo Theories Michael Cashmore, Daniele Magazzeni, Parisa Zehtabi
JAIR 2020 Using Machine Learning for Decreasing State Uncertainty in Planning Senka Krivic, Michael Cashmore, Daniele Magazzeni, Sándor Szedmák, Justus H. Piater
AAAI 2019 Robustness Envelopes for Temporal Plans Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi
IJCAI 2017 Decreasing Uncertainty in Planning with State Prediction Senka Krivic, Michael Cashmore, Daniele Magazzeni, Bram Ridder, Sándor Szedmák, Justus H. Piater
IJCAI 2017 Landmarks for Numeric Planning Problems Enrico Scala, Patrik Haslum, Daniele Magazzeni, Sylvie Thiébaux
AAAI 2016 Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning Approach Mauro Vallati, Daniele Magazzeni, Bart De Schutter, Lukás Chrpa, Thomas Leo McCluskey
AAAI 2016 Heuristic Planning for Hybrid Systems Wiktor Mateusz Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio
IJCAI 2016 Heuristic Planning for PDDL+ Domains Wiktor Mateusz Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio
AAAI 2014 Planning as Model Checking in Hybrid Domains Sergiy Bogomolov, Daniele Magazzeni, Andreas Podelski, Martin Wehrle
JAIR 2012 Plan-Based Policies for Efficient Multiple Battery Load Management Maria Fox, Derek Long, Daniele Magazzeni
IJCAI 2011 Automatic Construction of Efficient Multiple Battery Usage Policies Maria Fox, Derek Long, Daniele Magazzeni