ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations

Kavli Affiliate: Fukun Liu | First 5 Authors: Fukun Liu, Adam T. Greer, Gengchen Mai, Jin Sun, | Summary: Plankton are small drifting organisms found throughout the world’s oceans and can be indicators of ocean health. One component of this plankton community is the zooplankton, which includes gelatinous animals and crustaceans (e.g. shrimp), as well […]


Continue.. ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

Kavli Affiliate: Jia Liu | First 5 Authors: Zhiyao Zhang, Myeung Suk Oh, FNU Hairi, Ziyue Luo, Alvaro Velasquez | Summary: Actor-critic methods for decentralized multi-agent reinforcement learning (MARL) facilitate collaborative optimal decision making without centralized coordination, thus enabling a wide range of applications in practice. To date, however, most theoretical convergence studies for existing […]


Continue.. Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

Kavli Affiliate: Jia Liu | First 5 Authors: Zhiyao Zhang, Zhiyao Zhang, , , | Summary: Actor-critic methods for decentralized multi-agent reinforcement learning (MARL) facilitate collaborative optimal decision making without centralized coordination, thus enabling a wide range of applications in practice. To date, however, most theoretical convergence studies for existing actor-critic decentralized MARL methods are […]


Continue.. Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

Hebb’s Vision: The Structural Underpinnings of Hebbian Assemblie

Kavli Affiliate: Reza Abbasi Asl | Authors: Julian A Wagner-Carena, Sai Kate, Trevor Riordan, Reza Abbasi-Asl, Joe Aman, Adam Amster, Agnes L Bodor, Derrick Brittain, JoAnn Buchanan, Michael A Buice, Daniel J Bumbarger, Forrest Collman, Nuno Macarico da Costa, Daniel J Denman, Saskia EJ de Vries, Emily Joyce, Dan Kapner, Chase W King, Josh D […]


Continue.. Hebb’s Vision: The Structural Underpinnings of Hebbian Assemblie

GABAergic signaling by VIP interneurons gates running-dependent visual recovery in the adult brain

Kavli Affiliate: Michael Stryker | Authors: Anna Lebedeva, Friedrich Kling, Benjamin Rakela, Michael P Stryker and Yujiao Jennifer Sun | Summary: Experience-dependent plasticity in the adult visual cortex is enhanced by locomotion, a process mediated by vasoactive intestinal peptide (VIP)-expressing interneurons. While VIP interneurons are known to signal through both Gamma-aminobutyric acid (GABA) and VIP […]


Continue.. GABAergic signaling by VIP interneurons gates running-dependent visual recovery in the adult brain

A Framework for Spontaneous Brillouin Noise: Unveiling Fundamental Limits in Brillouin Metrology

Kavli Affiliate: Long Zhang | First 5 Authors: Simeng Jin, Shuai Yao, Zhisheng Yang, Zixuan Du, Xiaobin Hong | Summary: Spontaneous Brillouin scattering (SpBS) provides a non-contact tool for probing the mechanical and thermodynamic properties of materials, enabling important applications such as distributed optical fiber sensing and high-resolution Brillouin microscopy. Achieving metrological precision in these […]


Continue.. A Framework for Spontaneous Brillouin Noise: Unveiling Fundamental Limits in Brillouin Metrology

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou | Summary: De novo peptide sequencing is a critical task in proteomics. However, the performance of current deep learning-based methods is limited by the inherent complexity of mass spectrometry data and the heterogeneous distribution of noise signals, […]


Continue.. Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing

DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer

Kavli Affiliate: Xiang Zhang | First 5 Authors: Hai Jiang, Chushan Zheng, Jiawei Pan, Yuanpin Zhou, Qiongting Liu | Summary: Background: Accurate assessment of metastatic burden in axillary lymph nodes is crucial for guiding breast cancer treatment decisions, yet conventional imaging modalities struggle to differentiate metastatic burden levels and capture comprehensive lymph node characteristics. This […]


Continue.. DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer