Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Gatti, Alice"'
Autor:
Tamirisa, Rishub, Bharathi, Bhrugu, Phan, Long, Zhou, Andy, Gatti, Alice, Suresh, Tarun, Lin, Maxwell, Wang, Justin, Wang, Rowan, Arel, Ron, Zou, Andy, Song, Dawn, Li, Bo, Hendrycks, Dan, Mazeika, Mantas
Rapid advances in the capabilities of large language models (LLMs) have raised widespread concerns regarding their potential for malicious use. Open-weight LLMs present unique challenges, as existing safeguards lack robustness to tampering attacks th
Externí odkaz:
http://arxiv.org/abs/2408.00761
Autor:
Ren, Richard, Basart, Steven, Khoja, Adam, Gatti, Alice, Phan, Long, Yin, Xuwang, Mazeika, Mantas, Pan, Alexander, Mukobi, Gabriel, Kim, Ryan H., Fitz, Stephen, Hendrycks, Dan
As artificial intelligence systems grow more powerful, there has been increasing interest in "AI safety" research to address emerging and future risks. However, the field of AI safety remains poorly defined and inconsistently measured, leading to con
Externí odkaz:
http://arxiv.org/abs/2407.21792
Autor:
Li, Nathaniel, Pan, Alexander, Gopal, Anjali, Yue, Summer, Berrios, Daniel, Gatti, Alice, Li, Justin D., Dombrowski, Ann-Kathrin, Goel, Shashwat, Phan, Long, Mukobi, Gabriel, Helm-Burger, Nathan, Lababidi, Rassin, Justen, Lennart, Liu, Andrew B., Chen, Michael, Barrass, Isabelle, Zhang, Oliver, Zhu, Xiaoyuan, Tamirisa, Rishub, Bharathi, Bhrugu, Khoja, Adam, Zhao, Zhenqi, Herbert-Voss, Ariel, Breuer, Cort B., Marks, Samuel, Patel, Oam, Zou, Andy, Mazeika, Mantas, Wang, Zifan, Oswal, Palash, Lin, Weiran, Hunt, Adam A., Tienken-Harder, Justin, Shih, Kevin Y., Talley, Kemper, Guan, John, Kaplan, Russell, Steneker, Ian, Campbell, David, Jokubaitis, Brad, Levinson, Alex, Wang, Jean, Qian, William, Karmakar, Kallol Krishna, Basart, Steven, Fitz, Stephen, Levine, Mindy, Kumaraguru, Ponnurangam, Tupakula, Uday, Varadharajan, Vijay, Wang, Ruoyu, Shoshitaishvili, Yan, Ba, Jimmy, Esvelt, Kevin M., Wang, Alexandr, Hendrycks, Dan
The White House Executive Order on Artificial Intelligence highlights the risks of large language models (LLMs) empowering malicious actors in developing biological, cyber, and chemical weapons. To measure these risks of malicious use, government ins
Externí odkaz:
http://arxiv.org/abs/2403.03218
We develop the theory of Energy Conserving Descent (ECD) and introduce ECDSep, a gradient-based optimization algorithm able to tackle convex and non-convex optimization problems. The method is based on the novel ECD framework of optimization as physi
Externí odkaz:
http://arxiv.org/abs/2306.00352
Autor:
Gatti, Alice
Let $G$ be a non-compact classical semisimple Lie group and let $G/V$ be the adjoint orbit with respect to a fixed element in $G$. These manifolds can be equipped with an almost-K\"ahler structure and we provide explicit formulae for the existence of
Externí odkaz:
http://arxiv.org/abs/2209.14543
We present a graph bisection and partitioning algorithm based on graph neural networks. For each node in the graph, the network outputs probabilities for each of the partitions. The graph neural network consists of two modules: an embedding phase and
Externí odkaz:
http://arxiv.org/abs/2110.08614
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks
We present a novel method for graph partitioning, based on reinforcement learning and graph convolutional neural networks. Our approach is to recursively partition coarser representations of a given graph. The neural network is implemented using SAGE
Externí odkaz:
http://arxiv.org/abs/2104.03546
Autor:
Della Vedova, Alberto, Gatti, Alice
We study the almost Kaehler geometry of adjoint orbits of non-compact real semisimple Lie groups endowed with the Kirillov-Kostant-Souriau symplectic form and a canonically defined almost complex structure. We give explicit formulas for the Chern-Ric
Externí odkaz:
http://arxiv.org/abs/1811.06958
Akademický článek
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Publikováno v:
Eng; Sep2024, Vol. 5 Issue 3, p2170-2205, 36p