Alice Gatti

27 papers A* 3C 1Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Network Instability as a Signal of Systemic Financial Stress: An Explainable Machine-Learning Framework.
Future Internet
Livia Valentina Moretti, Enrico Barbierato, Alice Gatti
2026 J jnl
Uncertainty-Aware Machine Learning for NBA Forecasting in Digital Betting Markets.
Inf.
Matteo Montrucchio, Enrico Barbierato, Alice Gatti
2025 — conf
Benchmarking Education on the Ethical Aspects of Artificial Intelligence: Integrating Empathy into AI Ethics Training.
edu4AI@ECAI
Enrico Barbierato, Alice Gatti, Marco Gribaudo
2025 J jnl
Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning.
IEEE Access
Enrico Barbierato, Alice Gatti, Alessandro Incremona, Andrea Pozzi, Daniele Toti
2025 J jnl
Data-Driven Diagnostics for Pediatric Appendicitis: Machine Learning to Minimize Misdiagnoses and Unnecessary Surgeries.
Future Internet
Deborah Maffezzoni, Enrico Barbierato, Alice Gatti
2025 J jnl
Green AI's Role in Cultural Heritage and Sustainability.
ERCIM News
Enrico Barbierato, Alice Gatti
2025 J jnl
Humanity's Last Exam.
CoRR
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
2025 C conf
Modeling Cyber Threats In Autonomous Guided Vehicles Using Mean Field Models.
ECMS
Enrico Barbierato, Serena Curzel, Alice Gatti, Marco Gribaudo, Mauro Iacono
2025 J jnl
Normalized Cut with Reinforcement Learning in Constrained Action Space.
CoRR
Qize Jiang, Linsey Pang, Alice Gatti, Mahima Aggarwal, Giovanna Vantini, Xiaosong Ma, Weiwei Sun, Sanjay Chawla
2025 J jnl
Remote Labor Index: Measuring AI Automation of Remote Work.
CoRR
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
2025 J jnl
Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder-Markov Chain Monte Carlo Architectures.
Future Internet
Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti
2025 A* conf
Tamper-Resistant Safeguards for Open-Weight LLMs.
ICLR
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
2025 J jnl
The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems.
CoRR
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
2025 J jnl
Topological Machine Learning for Financial Crisis Detection: Early Warning Signals from Persistent Homology.
Comput.
Ecaterina Guritanu, Enrico Barbierato, Alice Gatti
2024 J jnl
Decoding Urban Intelligence: Clustering and Feature Importance in Smart Cities.
Future Internet
Enrico Barbierato, Alice Gatti
2024 — conf
Performance Evaluation of Smart Bin Systems Using Markovian Agents for Efficient Garbage Collection.
EPEW
Enrico Barbierato, Alice Gatti, Marco Gribaudo, Mauro Iacono
2024 A* conf
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
NeurIPS
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
2024 J jnl
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
CoRR
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
2024 J jnl
Tamper-Resistant Safeguards for Open-Weight LLMs.
CoRR
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
2024 J jnl
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.
CoRR
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
2024 A* conf
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning.
ICML
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
2024 J jnl
Toward Green AI: A Methodological Survey of the Scientific Literature.
IEEE Access
Enrico Barbierato, Alice Gatti
2023 J jnl
Improving Energy Conserving Descent for Machine Learning: Theory and Practice.
CoRR
Giuseppe Bruno De Luca, Alice Gatti, Eva Silverstein
2022 — conf
Deep Learning and Spectral Embedding for Graph Partitioning.
PP
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
2022 J jnl
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks.
J. Mach. Learn. Res.
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
2021 J jnl
Deep Learning and Spectral Embedding for Graph Partitioning.
CoRR
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
2021 J jnl
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning.
CoRR
Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess E. Smidt