Zobrazeno 1 - 10
of 19 275
pro vyhledávání: '"P. Sydney"'
This tutorial serves as a comprehensive guide for understanding graph databases, focusing on the fundamentals of graph theory while showcasing practical applications across various fields. It starts by introducing foundational concepts and delves int
Externí odkaz:
http://arxiv.org/abs/2411.09999
Autor:
Johnson, Samuel G. B., Karimi, Amir-Hossein, Bengio, Yoshua, Chater, Nick, Gerstenberg, Tobias, Larson, Kate, Levine, Sydney, Mitchell, Melanie, Rahwan, Iyad, Schölkopf, Bernhard, Grossmann, Igor
Recent advances in artificial intelligence (AI) have produced systems capable of increasingly sophisticated performance on cognitive tasks. However, AI systems still struggle in critical ways: unpredictable and novel environments (robustness), lack o
Externí odkaz:
http://arxiv.org/abs/2411.02478
Autor:
Jamil, Hasibul, Alim, Abdul, Schares, Laurent, Maniotis, Pavlos, Schour, Liran, Sydney, Ali, Kayi, Abdullah, Kosar, Tevfik, Karacali, Bengi
The increasing complexity of AI workloads, especially distributed Large Language Model (LLM) training, places significant strain on the networking infrastructure of parallel data centers and supercomputing systems. While Equal-Cost Multi- Path (ECMP)
Externí odkaz:
http://arxiv.org/abs/2410.17078
Autor:
Li, Jing-Jing, Pyatkin, Valentina, Kleiman-Weiner, Max, Jiang, Liwei, Dziri, Nouha, Collins, Anne G. E., Borg, Jana Schaich, Sap, Maarten, Choi, Yejin, Levine, Sydney
The ideal LLM content moderation system would be both structurally interpretable (so its decisions can be explained to users) and steerable (to reflect a community's values or align to safety standards). However, current systems fall short on both of
Externí odkaz:
http://arxiv.org/abs/2410.16665
Financial models have increasingly become popular in recent times, and the focus of researchers has been to find the perfect model which fits all circumstances; however, this has not been thoroughly achieved, and as a result, many financial models ha
Externí odkaz:
http://arxiv.org/abs/2410.16205
Autor:
Li, Tian, Collett, Thomas E., Marshall, Philip J., Erickson, Sydney, Enzi, Wolfgang, Oldham, Lindsay, Ballard, Daniel
The time delay between multiple images of strongly lensed quasars has been used to infer the Hubble constant. The primary systematic uncertainty for time-delay cosmography is the mass-sheet transform (MST), which preserves the lensing observables whi
Externí odkaz:
http://arxiv.org/abs/2410.16171
Multi-agent systems are trained to maximize shared cost objectives, which typically reflect system-level efficiency. However, in the resource-constrained environments of mobility and transportation systems, efficiency may be achieved at the expense o
Externí odkaz:
http://arxiv.org/abs/2410.14916
Autor:
Erickson, Sydney, Wagner-Carena, Sebastian, Marshall, Phil, Millon, Martin, Birrer, Simon, Roodman, Aaron, Schmidt, Thomas, Treu, Tommaso, Schuldt, Stefan, Shajib, Anowar, Venkatraman, Padma, Collaboration, The LSST Dark Energy Science
Strongly lensed quasars can be used to constrain cosmological parameters through time-delay cosmography. Models of the lens masses are a necessary component of this analysis. To enable time-delay cosmography from a sample of $\mathcal{O}(10^3)$ lense
Externí odkaz:
http://arxiv.org/abs/2410.10123
What is the best compromise in a situation where different people value different things? The most commonly accepted method for answering this question -- in fields across the behavioral and social sciences, decision theory, philosophy, and artificia
Externí odkaz:
http://arxiv.org/abs/2410.05496
Recent calls for pluralistic alignment emphasize that AI systems should address the diverse needs of all people. Yet, efforts in this space often require sorting people into fixed buckets of pre-specified diversity-defining dimensions (e.g., demograp
Externí odkaz:
http://arxiv.org/abs/2410.03868