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Joint Liability Model with Adaptation to Climate Change
This paper extends the application of ESG score assessment methodologies from large corporations to individual farmers' production, within the context of climate change.
Navigating Uncertainty in ESG Investing
The widespread confusion among investors regarding Environmental, Social, and Governance (ESG) rankings assigned by rating agencies has underscored a critical issue in sustainable investing.
Time-series Anomaly Detection via Contextual Discriminative Contrastive Learning
We provide a theoretical analysis to demonstrate that the incorporation of the deterministic contrastive loss can effectively prevent the occurrence of a constant encoder solution.
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
Some other works detect anomalies based on reconstructing or forecasting a list of inter-series graphs, which inadvertently weakens their power to capture temporal patterns within the data due to the discrete nature of graphs.
