research note
This paper addresses the challenge of data assimilation (DA) in partially observed, nonlinear, chaotic systems where only a subset of the state variables is directly observed
research note
This paper addresses a critical gap in the security and robustness of autonomous AI agents, which have evolved from static chatbots to complex entities with persistent memory, tool use, and multi-a…
research note
This paper introduces HORIZON, a novel framework for agentic hardware design that treats hardware design problems as evolving code repositories managed via git
research note
This paper addresses the challenge of cross-dataset EEG-based emotion recognition under domain shifts caused by inter-subject variability and dataset differences
research note
DexCompose addresses the challenging problem of composing multiple dexterous manipulation skills with a single robotic hand by explicitly managing finger-level action ownership
research note
This paper addresses a key computational bottleneck in the Signed Particle Formulation (SPF) of quantum mechanics—the evaluation of the Wigner kernel
research note
This study investigates how vulnerabilities are communicated in GitHub pull requests by humans, bots, and coding agents, focusing on both explicit vulnerability identifiers (e.g., CVE, GHSA) and im…
research note
This paper addresses key limitations in emotional text-to-speech (TTS) models based on large language models (LLMs), particularly the common issue of flattened, averaged prosody caused by supervise…
research note
This paper addresses the challenging problem of identifying quantum phases of matter, particularly topologically ordered phases such as those realized by the surface code, using quantum machine lea…
research note
This paper addresses the challenging problem of measuring the kinematics of dust in active galactic nuclei (AGN), specifically in type 2 quasars at redshift ~0.1
research note
This work addresses a critical inconsistency between plasma fueling scenarios—especially fuel puffing used for divertor detachment—and assumptions in tritium fuel cycle (TFC) modeling
research note
This paper addresses the challenging problem of accurate network traffic prediction in dynamic urban cellular networks by proposing the Parameter-Efficient Hybrid Transformer (PEHT)
