Aperiodic neural dynamics define a novel signature of glioma-induced excitation-inhibition dysregulation

Kavli Affiliate: Edward Chang | Authors: Youssef E Sibih, Abraham O Dada, Emily E Cunningham, Niels Olshausen, Jasleen Kaur, Velmurugan Jayabal, Sena Oten, Sanjeev Herr, Cesar N Gonzales, Andy Daniel, Saritha Krishna, Vardhaan S Ambati, Alexander A Aabedi, Gray Umbach, Kanish Mirchia, Poortata Lalwani, Edward F Chang, David R Raleigh, Srikantan Nagarajan, David Brang and […]


Continue.. Aperiodic neural dynamics define a novel signature of glioma-induced excitation-inhibition dysregulation

Knowledge Grafting of Large Language Models

Kavli Affiliate: Zhuo Li | First 5 Authors: Guodong Du, Xuanning Zhou, Junlin Li, Zhuo Li, Zesheng Shi | Summary: Cross-capability transfer is a key challenge in large language model (LLM) research, with applications in multi-task integration, model compression, and continual learning. Recent works like FuseLLM and FuseChat have demonstrated the potential of transferring multiple […]


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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. One component of this plankton community is the zooplankton, which includes gelatinous animals and crustaceans (e.g. shrimp), as well as the early life stages (i.e., eggs […]


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