Reducing disorder in Ge quantum wells by using thick SiGe barriers

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Davide Costa, Lucas E. A. Stehouwer, Yi Huang, Sara Martí-Sánchez, Davide Degli Esposti | Summary: We investigate the disorder properties of two-dimensional hole gases in Ge/SiGe heterostructures grown on Ge wafers, using thick SiGe barriers to mitigate the influence of the semiconductor-dielectric interface. Across several heterostructure field […]


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Beyond the Phase Ordering Problem: Finding the Globally Optimal Code w.r.t. Optimization Phases

Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Hongyu Chen, Ke Wang, , | Summary: In this paper, we propose a new concept called textit{semantically equivalence} wrt textit{optimization phases} textit{(sep)}, which defines the set of programs a compiler considers semantically equivalent to the input using a set of optimization phases. We show both […]


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Solving the Phase Ordering Problem $ne$ Generating the Globally Optimal Code

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 […]


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How to evaluate your medical time series classification?

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 […]


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Repurposing Foundation Model for Generalizable Medical Time Series Classification

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 […]


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Symmetry-controlled orbital Hall effect in IrO$_2$

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 […]


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The Stellar Initial Mass Function of Early Dark Matter-free Gas Objects

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 […]


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AGN STORM 2: X. The origin of the interband continuum delays in Mrk 817

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 […]


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Precision Knowledge Editing: Enhancing Safety in Large Language Models

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 […]


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Robust Detection of Brain Stimulation Artifacts in iEEG Using Autoencoder-Generated Signals and ResNet Classification

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 […]


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