Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning. - Alice Gatti; Zhixiong Hu; Pieter Ghysels; Esmond G. Ng; Tess E. Smidt (CoRR, 2021)

Deep Learning and Spectral Embedding for Graph Partitioning. - Alice Gatti; Zhixiong Hu; Tess E. Smidt; Esmond G. Ng; Pieter Ghysels (PP, 2022)

Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks. - Alice Gatti; Zhixiong Hu; Tess E. Smidt; Esmond G. Ng; Pieter Ghysels (J. Mach. Learn. Res., 2022)

Improving Energy Conserving Descent for Machine Learning: Theory and Practice. - Giuseppe Bruno De Luca; Alice Gatti; Eva Silverstein (CoRR, 2023)

Performance Evaluation of Smart Bin Systems Using Markovian Agents for Efficient Garbage Collection. - Enrico Barbierato; Alice Gatti; Marco Gribaudo; Mauro Iacono (EPEW, 2024)

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Gabriel Mukobi; Nathan Helm-Burger; Rassin Lababidi; et al. (ICML, 2024)

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? - Richard Ren; Steven Basart; Adam Khoja; Alice Gatti; Long Phan; Xuwang Yin; Mantas Mazeika; Alexander Pan; Gabriel Mukobi; Ryan H. Kim; Stephen Fitz; Dan Hendrycks (NeurIPS, 2024)

Toward Green AI: A Methodological Survey of the Scientific Literature. - Enrico Barbierato; Alice Gatti (IEEE Access, 2024)

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Long Phan; Gabriel Mukobi; Nathan Helm-Burger; et al. (CoRR, 2024)

Decoding Urban Intelligence: Clustering and Feature Importance in Smart Cities. - Enrico Barbierato; Alice Gatti (Future Internet, 2024)

Modeling Cyber Threats In Autonomous Guided Vehicles Using Mean Field Models. - Enrico Barbierato; Serena Curzel; Alice Gatti; Marco Gribaudo; Mauro Iacono (ECMS, 2025)

Tamper-Resistant Safeguards for Open-Weight LLMs. - Rishub Tamirisa; Bhrugu Bharathi; Long Phan; Andy Zhou; Alice Gatti; Tarun Suresh; Maxwell Lin; Justin Wang; Rowan Wang; Ron Arel; Andy Zou; Dawn Song; et al. (ICLR, 2025)

Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning. - Enrico Barbierato; Alice Gatti; Alessandro Incremona; Andrea Pozzi; Daniele Toti (IEEE Access, 2025)

Green AI's Role in Cultural Heritage and Sustainability. - Enrico Barbierato; Alice Gatti (ERCIM News, 2025)

Data-Driven Diagnostics for Pediatric Appendicitis: Machine Learning to Minimize Misdiagnoses and Unnecessary Surgeries. - Deborah Maffezzoni; Enrico Barbierato; Alice Gatti (Future Internet, 2025)

Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder-Markov Chain Monte Carlo Architectures. - Francesco Bruni Prenestino; Enrico Barbierato; Alice Gatti (Future Internet, 2025)

Humanity's Last Exam. - Long Phan; Alice Gatti; Ziwen Han; Nathaniel Li; Josephina Hu; Hugh Zhang; Sean Shi; Michael Choi; Anish Agrawal; Arnav Chopra; Adam Khoja; Ryan Kim; et al. (CoRR, 2025)

The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems. - Richard Ren; Arunim Agarwal; Mantas Mazeika; Cristina Menghini; Robert Vacareanu; Brad Kenstler; Mick Yang; Isabelle Barrass; Alice Gatti; Xuwang Yin; Eduardo Trevino; Matias Geralnik; et al. (CoRR, 2025)

Normalized Cut with Reinforcement Learning in Constrained Action Space. - Qize Jiang; Linsey Pang; Alice Gatti; Mahima Aggarwal; Giovanna Vantini; Xiaosong Ma; Weiwei Sun; Sanjay Chawla (CoRR, 2025)