Computer Science - Artificial Intelligence

Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution
In recent decades, there has been substantial advances in time series models and benchmarks across various individual tasks, such as …
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TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
With recent advances in building foundation models for texts and video data, there is a surge of interest in foundation models for time …
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An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
Foundation models, such as Large language Models (LLMs), have attracted significant amount of interest due to their large number of …
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DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
In electronic trading markets, limit order books (LOBs) provide information about pending buy/sell orders at various price levels for a …
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Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
Recent years have witnessed the rise of misinformation campaigns that spread specific narratives on social media to manipulate public …
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VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
Recent years have witnessed an increasing use of coordinated accounts on social media, operated by misinformation campaigns to …
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Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
Vast amount of data generated from networks of sensors, wearables, and the Internet of Things (IoT) devices underscores the need for …
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Spectral Temporal Graph Neural Network for Trajectory Prediction
An effective understanding of the contextual environment and accurate motion forecasting of surrounding agents is crucial for the …
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An Examination of Fairness of AI Models for Deepfake Detection
Recent studies have demonstrated that deep learning models can discriminate based on protected classes like race and gender. In this …
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MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
The recent release of large-scale healthcare datasets has greatly propelled the research of data-driven deep learning models for …
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