Getting a real cybersecurity risk assessment for a small organization is expensive -- a NIST CSF-aligned engagement runs $15,000 on the low end, takes weeks, and depends on practitioners who are genui...
Beyond conditional average treatment effects, treatments may impact the entire outcome distribution in covariate-dependent ways, for example, by altering the variance or tail risks for specific subpop...
It is increasingly important that LLM agents interact effectively and safely with other goal-pursuing agents, yet, recent works report the opposite trend: LLMs with stronger reasoning capabilities beh...
Benchmark hacking refers to tuning a machine learning model to score highly on certain evaluation criteria without improving true generalization or faithfully solving the intended problem. We study th...
NDAI zones let inventor and investor agents negotiate inside a Trusted Execution Environment (TEE) where any disclosed information is deleted if no deal is reached. This makes full IP disclosure the r...
World models are increasingly used as policy-in-the-loop imagination environments, where reliable rollouts require fine-grained controllability with respect to low-level robot actions. A key obstacle ...
Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with what people perceive in videos. Kinematic errors average per-frame pose differences b...
Stock price prediction remains challenging due to the non-stationary and noisy nature of financial time series. Existing deep learning models often rely on rigid decision-level fusion, ad hoc hyperpar...
Polynomial Stein discrepancies (PSD) provide a scalable alternative to kernel Stein methods for measuring sample quality and goodness-of-fit testing, but their statistical properties remain poorly und...
The occurrence and compositional variation of per- and polyfluoroalkyl substances (PFASs) in deep-sea cold seep sediments remain poorly characterized. Here, 25 target PFASs were analyzed in 40 sedimen...
Conditional Independence (CI) tests are the statistical engine of constraint-based causal discovery: in algorithms such as PC (Peter-Clark) and FCI (Fast Causal Inference), skeleton pruning and key or...
Fixed Radius Near Neighbor (FRNN) search is an alternative to the widely used k Nearest Neighbors (kNN) search. Unlike kNN, FRNN determines a label or an estimate for a test sample based on all traini...
Maritime Spatial Planning is a pivotal tool for the sustainable development of coastal areas and the implementation of the blue economy. It requires a spatially explicit environmental risk assessment,...
Data increasingly arrive as collections of curves - a voice recording, a growth trajectory, a day of sensor readings - where each observation is a whole function rather than a single number. The usual...
Deep-sea sediment-derived fungal isolates remain underrepresented in organized living collections for phenotype-based screening. We applied 12 complementary isolation protocols-dilution plating, ethyl...
Deep-sea microorganisms constitute a valuable source of structurally diverse natural products. In this study, an extracellular polysaccharide was isolated from the deep-sea fungus Beauveria bassiana T...
The development of effective methodologies for extracting microplastics from marine matrices is key for designing appropriate measures to reduce and mitigate their effects. The diversity of protocols ...
The Mediterranean Basin is facing an increasing frequency and intensity of wildfires driven by climate change, raising concern about their off-site impacts on marine ecosystems. This study provides fo...
Microplastics (MPs) have emerged as pervasive contaminants in marine ecosystems; however, their vertical distribution within the Arabian Sea water column remains poorly understood. This study investig...
In this paper, we report our experience with ``TuringHotel'', a novel extension of the Turing Test based on interactions within mixed communities of Large Language Models (LLMs) and human participants...
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