Kavli Affiliate: Yi Zhou | First 5 Authors: Ruiqi Wu, Na Su, Chenran Zhang, Tengfei Ma, Tao Zhou | Summary: Vision-language pretraining (VLP) has been investigated to generalize across diverse downstream tasks for fundus image analysis. Although recent methods showcase promising achievements, they significantly rely on large-scale private image-text data but pay less attention to […]
Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Anuroop Dasgupta, Lucas A. Cieza, Camilo I. Gonzalez Ruilova, Trisha Bhowmik, Ms. Prachi Chavan | Summary: The size of a protoplanetary disk is a fundamental property, yet most remain unresolved, even in nearby star-forming regions (d $sim$ 140-200 pc). We present the complete continuum size distribution […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Fuchuan Qu, Cheng Peng, Jiaojiao Guan, Donglin Wang, Yanni Sun | Summary: Motivation: Nucleocytoplasmic large DNA viruses (NCLDVs) are notable for their large genomes and extensive gene repertoires, which contribute to their widespread environmental presence and critical roles in processes such as host metabolic reprogramming and nutrient […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Robert M. Gray, Ryoto Sekine, Maximilian Shen, Thomas Zacharias, James Williams | Summary: Few- and single-cycle optical pulses and their associated ultra-broadband spectra have been crucial in the progress of ultrafast science and technology. Moreover, multi-color waveforms composed of independently manipulable ultrashort pulses in distinct spectral bands […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Robert M. Gray, Ryoto Sekine, Maximilian Shen, Thomas Zacharias, James Williams | Summary: Few- and single-cycle optical pulses and their associated ultra-broadband spectra have been crucial in the progress of ultrafast science and technology. Multi-color waveforms composed of independently manipulable ultrashort pulses in distinct spectral bands offer […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Naman Goel, , , | Summary: Federated Learning (FL) allows collaborative model training among distributed parties without pooling local datasets at a central server. However, the distributed nature of FL poses challenges in training fair federated learning models. The existing techniques are often limited in […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Naman Goel, , , | Summary: Federated Learning (FL) allows collaborative model training among distributed parties without pooling local datasets at a central server. However, the distributed nature of FL poses challenges in training fair federated learning models. The existing techniques are often limited in […]
Kavli Affiliate: Kenneth Miller | Authors: Mauro M. Monsalve-Mercado and Kenneth D Miller | Summary: How do populations of neurons collectively encode and process information during cognitive tasks? We analyze high-yield population recordings from the macaque lateral intraparietal area (LIP) during a reaction-time random-dot-motion direction-discrimination task. We find that the trajectories of neural population activity […]
Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Kanji Mori, Tomoya Takiwaki, Kei Kotake, Shunsaku Horiuchi, | Summary: We perform three-dimensional supernova simulations with a phenomenological treatment of neutrino flavor conversions. We show that the explosion energy can increase to as high as ~10^51 erg depending on the critical density for the onset of flavor […]
Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Kanji Mori, Tomoya Takiwaki, Kei Kotake, Shunsaku Horiuchi, | Summary: We perform three-dimensional supernova simulations with a phenomenological treatment of neutrino flavor conversions. We show that the explosion energy can increase to as high as ~10^51 erg depending on the critical density for the onset of flavor […]