Constraints on Long-Range Forces in De Sitter Space

Kavli Affiliate: Austin Joyce | Summary:The representation theory of de Sitter space admits partially massless (PM) particles, but whether such particles can participate in consistent interacting theories remains unclear. We investigate the consistency of theories containing PM fields, particularly when these fields are coupled to gravity. Our strategy exploits the fact that PM fields correspond […]


Continue.. Constraints on Long-Range Forces in De Sitter Space

VLT/MUSE Detection of the AB Aurigae b Protoplanet with $H _rm α$ Spectroscopy

Kavli Affiliate: Ruobing Dong | Summary:We analyze high-contrast, medium-spectral-resolution $H_rm α$ observations of the star AB Aurigae using the Very Large Telescope’s Multi Unit Spectroscopic Explorer (MUSE). In multiple epochs, MUSE detects the AB Aur b protoplanet discovered from Subaru/SCExAO data in emission at wavelengths slightly blue-shifted from the $H_rm α$ line center (i.e. at […]


Continue.. VLT/MUSE Detection of the AB Aurigae b Protoplanet with $H _rm α$ Spectroscopy

Enriched volatiles and refractories but deficient titanium on the dayside atmosphere of WASP-121b revealed by JWST/NIRISS

Kavli Affiliate: Michael Turner| First 5 Authors: Stefan Pelletier, Stefan Pelletier, , , | Summary:With dayside temperatures elevated enough for all atmospheric constituents to be present in gas form, ultra-hot Jupiters offer a unique opportunity to probe the composition of giant planets. We aim to infer the composition and thermal structure of the dayside atmosphere […]


Continue.. Enriched volatiles and refractories but deficient titanium on the dayside atmosphere of WASP-121b revealed by JWST/NIRISS

Rapid rebalancing of co-tuned ensemble activity in the auditory cortex

Kavli Affiliate: Patrick Kanold | Authors: HiJee Kang, Travis Babola and Patrick O Kanold | Summary: Sensory information is represented by small neuronal ensembles in sensory cortices. Neuronal activity shows high trial-by-trial variability in that repeated presentation of the same stimulus, e. g., multiple presentations of the same sound activate differing ensembles in the auditory […]


Continue.. Rapid rebalancing of co-tuned ensemble activity in the auditory cortex

Three-dimensional hyperspectral imaging with optical microcombs

Kavli Affiliate: Kerry Vahala | Summary:Optical frequency combs have revolutionised time and frequency metrology [1, 2]. The advent of microresonator-based frequency combs (‘microcombs’ [3-5]) is set to lead to the miniaturisation of devices that are ideally suited to a wide range of applications, including microwave generation [6, 7], ranging [8-10], the precise calibration of astronomical […]


Continue.. Three-dimensional hyperspectral imaging with optical microcombs

Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Kavli Affiliate: Marcelo Mattar | Authors: Hua-Dong Xiong, Li Ji-An, Marcelo G Mattar and Robert C Wilson | Summary: Cognitive models are widely used in psychology and neuroscience to formulate and test hypotheses about cognitive processes. These processes are characterized by model parameters, which are then used for scientific inference. The reliability of scientific conclusions […]


Continue.. Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering

Kavli Affiliate: Zhuo Li | First 5 Authors: Chun Liu, Chun Liu, , , | Summary: Open-set few-shot hyperspectral image (HSI) classification aims to classify image pixels by using few labeled pixels per class, where the pixels to be classified may be not all from the classes that have been seen. To address the open-set […]


Continue.. Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering

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 […]


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

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 […]


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