Alice Gatti

According to our database, Alice Gatti authored at least 26 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Uncertainty-Aware Machine Learning for NBA Forecasting in Digital Betting Markets.

Matteo Montrucchio, Enrico Barbierato, Alice Gatti

Inf., 2026

Network Instability as a Signal of Systemic Financial Stress: An Explainable Machine-Learning Framework.

Livia Valentina Moretti, Enrico Barbierato, Alice Gatti

Future Internet, 2026

From Protection to Fragility: Emergent Failure Modes in Automated Cyber-Physical Systems.

Enrico Barbierato, Alice Gatti, Serena Curzel, Marco Gribaudo

Proceedings of the Computer Performance Engineering, 2026

2025

Remote Labor Index: Measuring AI Automation of Remote Work.

Mantas Mazeika, Alice Gatti, Cristina Menghini, Udari Madhushani Sehwag, Shivam Singhal, Yury Orlovskiy, Steven Basart, Manasi Sharma, Denis Peskoff, Elaine Lau, Jaehyuk Lim, Lachlan Carroll, Alice Blair, Vinaya Sivakumar, Sumana Basu, Brad Kenstler, Yuntao Ma, Julian Michael, Xiaoke Li, Oliver Ingebretsen, Aditya Mehta, Jean Mottola, John Teichmann, Kevin Yu, Zaina Shaik, Adam Khoja, Richard Ren, Jason Hausenloy, Long Phan, Ye Htet, Ankit Aich, Tahseen Rabbani, Vivswan Shah, Andriy Novykov, Felix Binder, Kirill Chugunov, Luis Ramirez, Matias Geralnik, Hernán Mesura, Dean Lee, Ed-Yeremai Hernandez-Cardona, Annette Diamond, Summer Yue, Alexandr Wang, Bing Liu, Ernesto Hernandez, Dan Hendrycks

CoRR, October, 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, May, 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, Adam Khoja, Dean Lee, Summer Yue, Dan Hendrycks

CoRR, March, 2025

Humanity's Last Exam.

Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Chen Bo Calvin Zhang, Mohamed Shaaban, John Ling, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Richard Ren, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Summer Yue, Alexandr Wang, Dan Hendrycks

CoRR, January, 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

Data-Driven Diagnostics for Pediatric Appendicitis: Machine Learning to Minimize Misdiagnoses and Unnecessary Surgeries.

Deborah Maffezzoni, Enrico Barbierato, Alice Gatti

Future Internet, 2025

Green AI's Role in Cultural Heritage and Sustainability.

Enrico Barbierato, Alice Gatti

ERCIM News, 2025

Topological Machine Learning for Financial Crisis Detection: Early Warning Signals from Persistent Homology.

Ecaterina Guritanu, Enrico Barbierato, Alice Gatti

Comput., 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

Quantifying Cybersecurity-QoS Trade-Offs in Smart Hospitals: A Comparative Study Using CSPNs and Markovian Agent Models.

Enrico Barbierato, Alice Gatti, Marco Gribaudo, Mauro Iacono

Proceedings of the QualITA 2025: The Fourth Conference on System and Service Quality co-located with 39th International Conference on Modelling and Simulation (ECMS 2025), 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, Bo Li, Dan Hendrycks, Mantas Mazeika

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Benchmarking Education on the Ethical Aspects of Artificial Intelligence: Integrating Empathy into AI Ethics Training.

Enrico Barbierato, Alice Gatti, Marco Gribaudo

Proceedings of the 2nd International Workshop on Education for Artificial Intelligence co-located with ECAI 2025, 2025

Modeling Cyber Threats In Autonomous Guided Vehicles Using Mean Field Models.

Enrico Barbierato, Serena Curzel, Alice Gatti, Marco Gribaudo, Mauro Iacono

Proceedings of the 39th ECMS International Conference on Modelling and Simulation, 2025

2024

Decoding Urban Intelligence: Clustering and Feature Importance in Smart Cities.

Enrico Barbierato, Alice Gatti

Future Internet, 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, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

CoRR, 2024

Toward Green AI: A Methodological Survey of the Scientific Literature.

Enrico Barbierato, Alice Gatti

IEEE Access, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Performance Evaluation of Smart Bin Systems Using Markovian Agents for Efficient Garbage Collection.

Enrico Barbierato, Alice Gatti, Marco Gribaudo, Mauro Iacono

Proceedings of the Computer Performance Engineering - 20th European Workshop, 2024

2023

Improving Energy Conserving Descent for Machine Learning: Theory and Practice.

Giuseppe Bruno De Luca, Alice Gatti, Eva Silverstein

CoRR, 2023

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

Deep Learning and Spectral Embedding for Graph Partitioning.

Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels

Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

2021

Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning.

Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess E. Smidt

CoRR, 2021