Alice Gatti

According to our database, Alice Gatti authored at least 19 papers between 2021 and 2025.

Collaborative distances:

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

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, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Daron Anderson, Tung Nguyen, Mobeen Mahmood, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Jessica P. Wang, Pawan Kumar, Oleksandr Pokutnyi, Robert Gerbicz, Serguei Popov, John-Clark Levin, Mstyslav Kazakov, Johannes Schmitt, Geoff Galgon, Alvaro Sanchez, Yongki Lee, Will Yeadon, Scott Sauers, Marc Roth, Chidozie Agu, Søren Riis, Fabian Giska, Saiteja Utpala, Zachary Giboney, Gashaw M. Goshu, Joan of Arc Xavier, Sarah-Jane Crowson, Mohinder Maheshbhai Naiya, Noah Burns, Lennart Finke, Zerui Cheng, Hyunwoo Park, Francesco Fournier-Facio, John Wydallis, Mark Nandor, Ankit Singh, Tim Gehrunger, Jiaqi Cai, Ben McCarty, Darling Duclosel, Jungbae Nam, Jennifer Zampese, Ryan G. Hoerr, Aras Bacho, Gautier Abou Loume, Abdallah Galal, Hangrui Cao, Alexis C. Garretson, Damien Sileo, Qiuyu Ren, Doru Cojoc, Pavel Arkhipov, Usman Qazi, Lianghui Li, Sumeet Motwani, Christian Schröder de Witt, Edwin Taylor, Johannes Veith, Eric Singer, Taylor D. Hartman, Paolo Rissone, Jaehyeok Jin, Jack Wei Lun Shi, Chris G. Willcocks, Joshua Robinson, Aleksandar Mikov, Ameya Prabhu, Longke Tang, Xavier Alapont, Justine Leon Uro, Kevin Zhou, Emily de Oliveira Santos, Andrey Pupasov Maksimov, Edward Vendrow, Kengo Zenitani, Julien Guillod, Yuqi Li, Joshua Vendrow, Vladyslav Kuchkin, Ng Ze-An

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

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

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

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 38: 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