Kavli Affiliate: Xuebing Wu | First 5 Authors: Shirui Wei, Changhua Li, Yanxia Zhang, Chenzhou Cui, Chao Tang | Summary: Emission Line Galaxies (ELGs) are crucial for cosmological studies, particularly in understanding the large-scale structure of the Universe and the role of dark energy. ELGs form an essential component of the target catalogue for the […]
Kavli Affiliate: Robert Edwards | Authors: Rumi Habib, Ryan S. Roark, Hui Li, Andrew Jesse Connell, Michael P. Hogarty, Kshitij Wagh, Shuyi Wang, Lorie Marchitto, Ashwin N. Skelly, John W. Carey, Kirsten J. Sowers, Kasirajan Ayyanathan, Samantha J. Plante, Frederic Bibollet-Ruche, Younghoon Park, Colby J. Agostino, Ajay Singh, Christian L. Martella, Emily Lewis, Jinery Lora, […]
Kavli Affiliate: Mark Ellisman | Authors: Thomas Deerinck, Steven Peltier and Mark Ellisman | Summary: Serial block-face scanning electron microscopy (SBEM) enables high-resolution 3D imaging of biological specimens but is often limited by specimen charging due to the use of non-conductive epoxy resins. While heavy metal staining and variable-pressure SEM can reduce charging, these methods […]
Kavli Affiliate: Mounya Elhilali | Authors: Moïra-Phoebé Huet and Mounya Elhilali | Summary: Perception requires more than passive sensing—it involves prioritizing the features most relevant to ongoing cognitive goals, a process guided by selective attention. A central question is whether attention operates by enhancing all features of a selected target, or by optimizing neural encoding […]
Kavli Affiliate: Scott A. Hughes | First 5 Authors: Emanuele Berti, Vitor Cardoso, Gregorio Carullo, Jahed Abedi, Niayesh Afshordi | Summary: The "ringdown" radiation emitted by oscillating black holes has great scientific potential. By carefully predicting the frequencies and amplitudes of black hole quasinormal modes and comparing them with gravitational-wave data from compact binary mergers […]
Kavli Affiliate: David Muller | First 5 Authors: Lucas N. Alegre, Agon Serifi, Ruben Grandia, David Müller, Espen Knoop | Summary: Reinforcement learning (RL) has significantly advanced the control of physics-based and robotic characters that track kinematic reference motion. However, methods typically rely on a weighted sum of conflicting reward functions, requiring extensive tuning to […]
Kavli Affiliate: Long Zhang | First 5 Authors: Xiao-Dong Lin, Long Zhang, , , | Summary: The accurate determination of non-Hermitian (NH) topological invariants plays a central role in the study of NH topological phases. In this work, we propose a general framework for directly measuring NH topological invariants in even-dimensional systems through quench dynamics. […]
Kavli Affiliate: Long Zhang | First 5 Authors: Xiao-Dong Lin, Long Zhang, , , | Summary: The accurate determination of non-Hermitian (NH) topological invariants plays a central role in the study of NH topological phases. In this work, we propose a general framework for directly measuring NH topological invariants in even-dimensional systems through quench dynamics. […]
Kavli Affiliate: Jia Liu | First 5 Authors: Srijith Nair, Michael Lin, Peizhong Ju, Amirreza Talebi, Elizabeth Serena Bentley | Summary: Collaborative training methods like Federated Learning (FL) and Split Learning (SL) enable distributed machine learning without sharing raw data. However, FL assumes clients can train entire models, which is infeasible for large-scale models. In […]