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 […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Liu Liu, Xiaofeng Wang, Guosheng Zhao, Keyu Li, Wenkang Qin | Summary: Imitation Learning has become a fundamental approach in robotic manipulation. However, collecting large-scale real-world robot demonstrations is prohibitively expensive. Simulators offer a cost-effective alternative, but the sim-to-real gap make it extremely challenging to scale. Therefore, […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Naoki Nishimura, Takumi Funato, Mamoru Matsuo, Takeo Kato, | Summary: We theoretically explore the generation of spin current driven by a temperature gradient in a junction between a chiral insulator and a normal metal. Based on the gyromagnetic effect caused by microscopic rotation due to phonons, we […]
Kavli Affiliate: Mark Ellisman | Authors: Jonathan Choy, Shadi Charara, Kalyani Cauwenberghs, Quintyn McKaughan, Keun-Young Kim, Mark Ellisman and Chih-Ying Su | Summary: Dendritic morphology is a defining characteristic of neuronal subtypes. In Drosophila, heterotypic olfactory receptor neurons (ORNs) expressing different receptors display diverse dendritic morphologies, but whether such diversity exists among homotypic ORNs remains […]