Kavli Affiliate: Stefano Fusi | Authors: Nicholas Menghi, Simone Vigano’, William Jeffrey Johnston, Salma Elnagar, Stefano Fusi and Christian F Doeller | Summary: Learning depends not only on the content of what we learn, but also on how we learn and on how experiences are structured over time. To investigate how task similarity and training […]
Kavli Affiliate: Joel Moore | Summary:Synchronization is a hallmark of collective behavior that emerges when nonlinear systems interact, spanning scales from mechanical oscillators to planetary orbits. As a universal phenomenon it underpins the study of complex systems and has far-reaching technological implications. While classical synchronization has a long and rich history, it has not been […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Jiarui Liu, Jiarui Liu, , , | Summary: Synchronization is a hallmark of nonlinear dynamics. It drives self-organized behavior across systems ranging from astronomy to chemistry. Among the simplest systems, the van der Pol oscillator captures the essence of limit-cycle behavior and forms the basis for […]
Kavli Affiliate: Lina Necib | Summary:The Milky Way’s galactic center is a highly dynamical, crowded environment. Gamma ray observations of this region, such as the excess of GeV scale gamma rays observed by Fermi LAT, have been of tremendous interest to both the high energy astrophysics and particle physics communities. However, nearly all past studies […]
Kavli Affiliate: Mark Vogelsberger | Summary:A combination of JWST observations at z~12-14 and ALMA observations of extremely dust-rich systems at z~6 has demonstrated that dust grows extremely fast in the early Universe, with galaxies amassing up to 10^7 Msun of dust in just 500 Myr between z=12->6. In this paper we demonstrate, via a series […]
Kavli Affiliate: Biao Huang| First 5 Authors: Yuxi Lu, Yuxi Lu, , , | Summary:World models have shown potential in artificial intelligence by predicting and reasoning about world states beyond direct observations. However, existing approaches are predominantly evaluated in synthetic environments or constrained scene settings, limiting their validation in real-world contexts with broad spatial coverage […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Min Liu, Min Liu, , , | Summary: Existing text-to-speech systems predominantly focus on single-sentence synthesis and lack adequate contextual modeling as well as fine-grained performance control capabilities for generating coherent multicast audiobooks. To address these limitations, we propose a context-aware and emotion controllable speech synthesis framework […]
Kavli Affiliate: Takeo Higuchi | Summary:The silicon strip sensors of the Belle II silicon vertex detector were irradiated with 90 MeV electron beams up to an equivalent 1-MeV-neutron fluence of $3.0times 10^13~rm n_rm eq/rm cm^2$. We measure changes in sensor properties induced by radiation damage in the semiconductor bulk. Electrons around this energy are a […]
Kavli Affiliate: T. Higuchi | First 5 Authors: K. Adamczyk, K. Adamczyk, , , | Summary: The silicon strip sensors of the Belle II silicon vertex detector were irradiated with 90 MeV electron beams up to an equivalent 1-MeV-neutron fluence of $3.0times 10^13~rm n_rm eq/rm cm^2$. We measure changes in sensor properties induced by radiation […]
Kavli Affiliate: Jia Liu | First 5 Authors: Tian Xie, Tian Xie, , , | Summary: Performative prediction (PP) is an algorithmic framework for optimizing machine learning (ML) models where the model’s deployment affects the distribution of the data it is trained on. Compared to traditional ML with fixed data, designing algorithms in PP converging […]