output
20192025
most citedMulti-Peaked Non-Thermal Light Curves from Magnetar-Powered Gamma-Ray Bursts

9 citations

6 papers

cs.CY2025★ 1 cited

Responsible LLM Deployment for High-Stake Decisions by Decentralized Technologies and Human-AI Interactions

Swati Sachan, Theo Miller, Mai Phuong Nguyen

High-stakes decision domains are increasingly exploring the potential of Large Language Models (LLMs) for complex decision-making tasks. However, LLM deployment in real-world setti…

cs.LG2025★ 1 cited

MTS: A Deep Reinforcement Learning Portfolio Management Framework with Time-Awareness and Short-Selling

Fengchen Gu, Zhengyong Jiang, Ángel F. García-Fernández +3

Portfolio management remains a crucial challenge in finance, with traditional methods often falling short in complex and volatile market environments. While deep reinforcement appr…

astro-ph.HE2024★ 9 cited

Multi-Peaked Non-Thermal Light Curves from Magnetar-Powered Gamma-Ray Bursts

Conor M. B. Omand, Nikhil Sarin, Gavin P. Lamb

Binary neutron star mergers and collapsing massive stars can both create millisecond magnetars. Such magnetars are candidate engines to power gamma-ray bursts (GRBs). The non-therm…

cs.LG2023★ 3 cited

DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks

Jiaxu Liu, Xinping Yi, Xiaowei Huang

Hyperbolic graph convolutional networks (HGCNs) have demonstrated significant potential in extracting information from hierarchical graphs. However, existing HGCNs are limited to s…

hep-lat2023★ 2 cited

Light Scalar Meson and Decay Constant in SU(3) Gauge Theory with Eight Dynamical Flavors

Lattice Strong Dynamics Collaboration, R. C. Brower, E. Owen +15

The SU(3) gauge theory with nearly massless Dirac fermions has long been of theoretical and phenomenological interest due to the near-conformality arising from its proximit…

eess.SP2019★ 4 cited

Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories

Yuxuan Xia, Karl Granström, Lennart Svensson +2

The Poisson multi-Bernoulli mixture (PMBM) is a multi-target distribution for which the prediction and update are closed. By applying the random finite set (RFS) framework to multi…