Copas-Jackson-type bounds for publication bias over a general class of selection models

Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Taojun Hu, , , | Summary: Publication bias (PB) is one of the most vital threats to the accuracy of meta-analysis. Adjustment or sensitivity analysis based on selection models, which describe the probability of a study being published, provide a more objective evaluation of PB […]


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Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality

Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, Shaocong Ma, , , | Summary: The goal of robust constrained reinforcement learning (RL) is to optimize an agent’s performance under the worst-case model uncertainty while satisfying safety or resource constraints. In this paper, we demonstrate that strong duality does not generally hold in robust […]


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Neural representation of action symbols in primate frontal cortex

Kavli Affiliate: Winrich Freiwald | Authors: Lucas Y Tian, Kedar U Garzón, Daniel J. Hanuska, Adam G Rouse, Mark AG Eldridge, Marc H Schieber, Xiao-Jing Wang, Joshua B Tenenbaum and Winrich A Freiwald | Summary: At the core of intelligence lies proficiency in solving new problems, including those that differ dramatically from problems seen before. […]


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PosterGen: Aesthetic-Aware Paper-to-Poster Generation via Multi-Agent LLMs

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zhilin Zhang, Zhilin Zhang, , , | Summary: Multi-agent systems built upon large language models (LLMs) have demonstrated remarkable capabilities in tackling complex compositional tasks. In this work, we apply this paradigm to the paper-to-poster generation problem, a practical yet time-consuming process faced by researchers preparing for […]


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Bridging model and experiment in systems neuroscience with Cleo: the Closed-Loop, Electrophysiology, and Optophysiology simulation testbed

Kavli Affiliate: Adam S. Charles | Authors: Kyle A. Johnsen, Nathanael A. Cruzado, Zachary C. Menard, Adam A. Willats, Adam S. Charles, Jeffrey E. Markowitz and Christopher J. Rozell | Summary: Systems neuroscience has experienced an explosion of new tools for reading and writing neural activity, enabling exciting new experiments such as all-optical or closed-loop […]


Continue.. Bridging model and experiment in systems neuroscience with Cleo: the Closed-Loop, Electrophysiology, and Optophysiology simulation testbed

3D map-guided modeling of functional endometrial tissue using multi-compartment assembloids

Kavli Affiliate: Denis Wirtz | KEHAN REN, VICTORIA DUARTE, XIN DI ZHOU, BRYAN HO, ANDRE FORJAZ, ASHLEIGH CRAWFORD, GRETCHEN M ALICEA-REBECCA, SAURABH JOSHI, PRAFUL R NAIR, EBAN A HANNA and DENIS WIRTZ | Summary: The human endometrium is a dynamic tissue that lines the uterus and undergoes constant remodeling, making it especially susceptible to gynecological […]


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A Single-Molecule Quantum Heat Engine

Kavli Affiliate: Herre S. J. Van Der Zant | First 5 Authors: Serhii Volosheniuk, Serhii Volosheniuk, , , | Summary: Particle-exchange heat engines operate without moving parts or time-dependent driving, relying solely on static energy-selective transport. Here, we realize a particle-exchange quantum heat engine based on a single diradical molecule, only a few nanometers in […]


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Tunable Superconducting Quantum Interference Device Coupler for Fluxonium Qubits

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Abhishek Chakraborty, Abhishek Chakraborty, , , | Summary: Tunable couplers enable high-fidelity two-qubit gates leveraging high on/off coupling ratios and reduced crosstalk within a single design. We investigate a galvanically connected direct-current superconducting quantum interference device (dc SQUID) as a minimal tunable coupling element for fluxonium qubits. […]


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Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark

Kavli Affiliate: Zhuo Li | First 5 Authors: Jinpeng Hu, Jinpeng Hu, , , | Summary: Multimodal large language models (MLLMs) have been widely applied across various fields due to their powerful perceptual and reasoning capabilities. In the realm of psychology, these models hold promise for a deeper understanding of human emotions and behaviors. However, […]


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