Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Hongyu Chen, Ke Wang, , | Summary: Phase ordering problem has been a long-standing challenge in compiler optimizations. Over the past four decades, a significant amount of effort has been devoted, and indeed, substantial progress has been made. However, in this paper, we raise questions […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang | Summary: Medical time series (MedTS) play a critical role in many healthcare applications, such as vital sign monitoring and the diagnosis of brain and heart diseases. However, the existence of subject-specific features poses unique challenges in […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Nan Huang, Haishuai Wang, Zihuai He, Marinka Zitnik, Xiang Zhang | Summary: Medical time series (MedTS) classification is critical for a wide range of healthcare applications such as Alzheimer’s Disease diagnosis. However, its real-world deployment is severely challenged by poor generalizability due to inter- and intra-dataset heterogeneity […]
Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Michael Patton, Dongwook Go, Daniel A. Pharis, Xiaoxi Huang, Gautam Gurung | Summary: Recent discovery of orbital currents in several material platforms including light element metals has opened new possibilities for exploring novel transport phenomena and applications to spin-orbitronic devices. These orbital currents, similar to spin […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: William Lake, Michael Y. Grudić, Smadar Naoz, Naoki Yoshida, Claire E. Williams | Summary: Among the remarkable strides made by JWST is the discovery of the earliest star clusters found to date. These have been proposed as early progenitors of globular clusters, which are known to come […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: William Lake, Michael Y. Grudić, Smadar Naoz, Naoki Yoshida, Claire E. Williams | Summary: To date, JWST has detected the earliest known star clusters in our Universe (Adamo et al. 2024, Messa et al. 2024, Vanzella et al. 2024, Mowla et al. 2024). They appear to be […]
Kavli Affiliate: Jia Liu | First 5 Authors: Jifan Zhang, Ziyue Luo, Jia Liu, Ness Shroff, Robert Nowak | Summary: Large language models require vast amounts of high-quality training data, but effective filtering of web-scale datasets remains a significant challenge. This paper demonstrates that GPT-4o is remarkably effective at identifying high-quality training data, but its […]
Kavli Affiliate: Erin Kara | First 5 Authors: Hagai Netzer, Michael R. Goad, Aaron J. Barth, Edward M. Cackett, Keith Horne | Summary: The local (z=0.0315) AGN Mrk 817, was monitored over more than 500 days with space-borne and ground-based instruments as part of a large international campaign AGN STORM 2. Here, we present a […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Xuying Li, Zhuo Li, Yuji Kosuga, Yasuhiro Yoshida, Victor Bian | Summary: Large language models (LLMs) have demonstrated remarkable capabilities, but they also pose risks related to the generation of toxic or harmful content. This work introduces Precision Knowledge Editing (PKE), an advanced technique that builds upon […]
Kavli Affiliate: Edward Chang | Authors: Jeremy Saal, Ankit N. Khambhati, Edward F. Chang and Prasad Shirvalkar | Summary: Background Intracranial EEG (iEEG) is crucial for understanding brain function, but stimulation-induced noise complicates data interpretation. Traditional artifact detection methods require manual user input or struggle with noise variability, especially with limited labeled data. Objective We […]