Zobrazeno 1 - 10
of 60 515
pro vyhledávání: '"Horng, A"'
We design a deterministic algorithm for the $(1+\epsilon)$-approximate maximum matching problem. Our primary result demonstrates that this problem can be solved in $O(\epsilon^{-6})$ semi-streaming passes, improving upon the $O(\epsilon^{-19})$ pass-
Externí odkaz:
http://arxiv.org/abs/2412.19057
Autor:
Anaraki, Nazanin Tabatabaei, Ng, Taneisha, Verma, Gaurav, Fu, Yu, O'Connell, Martin, Hull, Matthew, Routray, Susanta, Roozbahani, Max Mahdi, Chau, Duen Horng
Team projects in Computer Science (CS) help students build collaboration skills, apply theory, and prepare for real-world software development. Online classes present unique opportunities to transform the accessibility of CS education at scale. Still
Externí odkaz:
http://arxiv.org/abs/2412.11046
Differentiable rendering methods have emerged as a promising means for generating photo-realistic and physically plausible adversarial attacks by manipulating 3D objects and scenes that can deceive deep neural networks (DNNs). Recently, differentiabl
Externí odkaz:
http://arxiv.org/abs/2411.09749
Autor:
Brown, Josh, Bu, Yutong, Cheesman, Zachary, Orman, Benjamin, Horng, Iris, Thomas, Samuel, Harsy, Amanda, Schultze, Adam
In this research, we examine the capabilities of different mathematical models to accurately predict various levels of the English football pyramid. Existing work has largely focused on top-level play in European leagues; however, our work analyzes t
Externí odkaz:
http://arxiv.org/abs/2411.09085
Autor:
Pal, Anisha, Kruk, Julia, Phute, Mansi, Bhattaram, Manognya, Yang, Diyi, Chau, Duen Horng, Hoffman, Judy
Text-to-image diffusion models have impactful applications in art, design, and entertainment, yet these technologies also pose significant risks by enabling the creation and dissemination of misinformation. Although recent advancements have produced
Externí odkaz:
http://arxiv.org/abs/2411.07472
Dense Associative Memories are high storage capacity variants of the Hopfield networks that are capable of storing a large number of memory patterns in the weights of the network of a given size. Their common formulations typically require storing ea
Externí odkaz:
http://arxiv.org/abs/2410.24153
Pulmonary embolism (PE) is a leading cause of preventable in-hospital mortality. Advances in diagnosis, risk stratification, and prevention can improve outcomes. There are few large publicly available datasets that contain PE labels for research. Usi
Externí odkaz:
http://arxiv.org/abs/2411.00044
Modern deep learning models often make predictions by focusing on irrelevant areas, leading to biased performance and limited generalization. Existing methods aimed at rectifying model attention require explicit labels for irrelevant areas or complex
Externí odkaz:
http://arxiv.org/abs/2410.22312
Autor:
Theodoropoulos, Panagiotis, Komianos, Nikolaos, Pacelli, Vincent, Liu, Guan-Horng, Theodorou, Evangelos A.
Recent advancements in diffusion bridges for distribution transport problems have heavily relied on matching frameworks, yet existing methods often face a trade-off between scalability and access to optimal pairings during training. Fully unsupervise
Externí odkaz:
http://arxiv.org/abs/2410.14055
Publikováno v:
In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25-29, 2024, Barcelona, Spain. ACM, New York, NY, USA
The Mars Perseverance Rover represents a generational change in the scale of measurements that can be taken on Mars, however this increased resolution introduces new challenges for techniques in exploratory data analysis. The multiple different instr
Externí odkaz:
http://arxiv.org/abs/2409.05874