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Found 14 papers, 3 papers with code
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference
Social science research often hinges on the relationship between categorical variables and outcomes.
AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research
We investigate whether modern AI can emulate expert creativity in complex scientific endeavors.
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation
First, it demonstrates the proficiency of AI in fabricating disinformative user-generated content (UGC) that mimics the form of authentic content.
Psittacines of Innovation? Assessing the True Novelty of AI Creations
We examine whether Artificial Intelligence (AI) systems generate truly novel ideas rather than merely regurgitating patterns learned during training.
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos
Face de-identification in videos is a challenging task in the domain of computer vision, primarily used in privacy-preserving applications.
Heuristic Reasoning in AI: Instrumental Use and Mimetic Absorption
Deviating from conventional perspectives that frame artificial intelligence (AI) systems solely as logic emulators, we propose a novel program of heuristic reasoning.
Silico-centric Theory of Mind
Concurrently, we give its clones the ToM assessment, both with and without the instructions, thereby engaging the focal AI in higher-order counterfactual reasoning akin to human mentalizing--with respect to humans in one test and to other AI in another.
Multi-objective Feature Selection in Remote Health Monitoring Applications
Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification.
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey
In this context, we present a comprehensive survey of multimodal approaches for indoor human monitoring systems, with a specific focus on their relevance in elderly care.
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables
Through the Riesz representation theorem, we establish that the canonical treatment of categorical variables in causal models can be transformed into an identified structure in the RKHS.
Machine Learning and Consumer Data
The digital revolution has led to the digitization of human behavior, creating unprecedented opportunities to understand observable actions on an unmatched scale.
The Creative Frontier of Generative AI: Managing the Novelty-Usefulness Tradeoff
In this paper, drawing inspiration from the human creativity literature, we explore the optimal balance between novelty and usefulness in generative Artificial Intelligence (AI) systems.
Adaptive Variational Quantum Imaginary Time Evolution Approach for Ground State Preparation
This ensures the state is able to follow the quantum imaginary time evolution path in the system Hilbert space rather than in a restricted variational manifold set by a predefined fixed ansatz.
Chemical Physics Strongly Correlated Electrons Computational Physics Quantum Physics
Scaling theory for Mott-Hubbard transitions
We present a $T=0K$ renormalization group (RG) phase diagram for the electronic Hubbard model in two dimensions on the square lattice at, and away from, half filling.
Strongly Correlated Electrons Superconductivity
